Business Intelligence in Healthcare
IS 4030 - Business Intelligence
University of Cincinnati
Introduction
Large volumes of data gathered by healthcare organizations impede their analysis and effective
use. Generating reports from big data requires extensive labor and much time, though the result
may still lack reliability. In an effort to improve care quality, healthcare providers are applying
IT-enabled business strategies, a key component of which is the application of business
intelligence (BI).BI systems take critical operational data and combine them with analytical
tools in order to give comprehensive information to managers and decision-makers. This
facilitates and improves the timeliness and quality of inputs to the decision process. Even
though BI systems become widely used in healthcare, the changes to which they may lead in
the future are still unclear. The given essay discusses the current benefits of BI and possible
breakthroughs in preventative health, which may come about because of the use of such
technologies.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
The State of Health BI Today
Even though healthcare organizations have just moved into the data-driven world with BI
systems, there are already great advancements in the industry. In particular, they include
insurance provider benefits, streamlined emergency rooms, and improved patient healthcare
(Moscovici, 2015). Insurance provider benefits are associated with getting a clear picture of
healthcare spending and avoiding coverage gaps and duplication.
Quality of patient healthcare has now significantly increased as BI applications enable
physicians to see how treatment correlates with outcomes. Data dashboards may be used in
emergency rooms to track and keep information in one place. This will enable the person to
have a better overview of patients and recognize the significance of their needs. Apart from
that, BI promises to not only improve patient outcomes but also to reduce costs and streamline
the care process for healthcare organizations.
Cutting Healthcare Costs with BI
Despite the fact that there are certain barriers to the use of digital technologies in healthcare,
one may suppose there are several ways how the use of BI may revolutionize this industry. To
begin with, the use of BI will help save as much as 25 percent or more in annual costs of health
organizations over the next several years (Society of Actuaries, 2018). The ways to achieve
saving funds include the cutting rate of hospital readmissions, forecasting operating room
demands, optimizing staffing, and minimizing costs by maximizing patient care.
A considerable number of hospital readmissions are considered to be a significant cost burden
for healthcare organizations. This issue is rampant in the US, and it may be explained by the
fact that discharged patients get confused when they return home and have no idea how to take
care of themselves. Incorporating prediction models based on risk factors of being readmitted
and establishing protocols on how to deal with patients with high risks of readmission will
significantly lower costs on re-hospitalization.
Optimizing operating room use may reduce costs on its building, equipping, and support. In
this respect, BI may serve as a powerful tool in better understanding the relationships between
operating room variables, which adversely affect scheduling. These variables may include
“surgeon availability and preference, operating hours, and equipment availability and
functionality” (Edwards, 2017). BI software may be of help in scheduling an operating room,
studying its operation patterns, and rational matching the operating rooms with the most
suitable human and support resources.Another way to trim costs is by optimizing staffing by
means of BI systems. Predicting demand in advance to match personnel and resources may
help avoid incurring expenses. Using BI in making forecasts will help establish workforce
requirements beforehand. BI is also critical in delivering high-quality care and ensuring patient
safety. Elaboration of algorithms to forecast emergency medical situations will allow clinicians
to react to events much faster and make quick decisions much more accurately. Apart from that,
BI technologies may be used for making accurate on-the-spot diagnoses and swift detection if
hospital admittance is required.
Wearable Technologies
Medical research is among the areas in health care, where the power of big data has had the
most visible impact. Therefore, one may suppose that medical data may be collected using
multiple sources, such as invisible or implanted wearable devices. In the future, smartphones
with biosensors and wearable devices may create continuous streams of health data to measure
almost any health parameter of people without the need to go to the doctor. This would mean
that information and health variables would finally not only be available in the healthcare
facility but also at home. This may lead to the betterment of health management and one’s
lifestyle.
Also, patients will no longer need to experience physical illness to get medical attention as the
wearable device will be able to sift out early signs of diseases and infections and report this
information to a doctor (Dusheck, 2017). In particular, this refers to the early detection of
sepsis, which is a major issue in the US healthcare system. In fact, a majority of people already
agree that they would be excited to experience wearable technology from a doctor (65%), from
a hospital (62%), or a health insurance company (62%) (PWC, 2016). Therefore, wearable
technologies have all the potential to be widely used in the future.
Artificial Intelligence in Decision Making
As BI solutions evolve, healthcare organizations can take advantage of artificial
intelligence features to assess more data. In the future, artificial intelligence technology may
be expected to be standard in the majority of BI solutions. A considerable percent of analytic
queries will be generated using natural language processing or will be auto-generated by
artificial intelligence. The most significant potential breakthrough is associated with the use of
artificial intelligence in the decision-making process.
Even though nowadays, it is hard to imagine, but in the future, supercomputers may be used
for giving medical treatment recommendations, patient data processing, medical diagnosis
assistance, and converting paperwork into digital data. Also, supercomputers may
automatically generate reports, check medical records, and be involved in hospital patient
management systems and biomarker discovery. With the growing demand for improved
healthcare, artificial intelligence will be the tool that helps align the interests of doctors and
patients, as it will provide more transparency and accountability to the healthcare system.
Conclusion
To sum up, the healthcare industry has undergone a significant evolution shifting from a paper-
based records system to a more efficient system with BI, which helps manage the massive
amounts of structured and unstructured data. Today’s business intelligence tools offer hospital
clinical and executive leadership visibility into the operation of their organization, which
allows them to reach their objectives and minimize the costs.
With the development and proliferation of BI, the healthcare industry can offer more
personalized and cost-effective care systems. The potential breakthroughs associated with the
use of BI include cutting healthcare organizations’ costs, collecting data on one’s physical
condition via wearable devices, and incorporating artificial intelligence in the decision-making
process.
