Running Head: HEALTH INFORMATICS 1
Health Informatics
Institution
Name
Date
HEALTH INFORMATICS 2
Discussion Board 1: Health Informatics, Theoretical Foundations, and Practice Evolution
An intrinsically interdisciplinary field, Health informatics is described by Shortliffe EH as
an amalgamation of data collection, processing and passage of information, teaching and research
of multiple medical related tasks and information. The field encompasses a fusion of the use of
modern-day technology, medical information storage and dissemination techniques to improve the
provision of health holistically (Nelson & Staggers, 2018). Importance within the field is placed
on the patient healthcare information.
The discipline developed from the need to keep healthcare databases and retrieve
information whenever needed to improve the dissemination of healthcare (Braunstein, 2014). In
the early days, medical professionals (nurses, physicists, etc.) kept their data regarding ailments
and specific patients they were administering healthcare. However, the complexities of the
information being stored grew with the advent of new equipment, universal healthcare practices
and an increasing number of diseases and patients meant that it was difficult to process all the data
systematically. The advent of the personal computer led to the further development of the field
(Nelson & Staggers, 2018).
The need to seamlessly access patient health as he/she moved between different
departments in a health facility necessitated the further development of the field as a separate
discipline within the healthcare set up. However, medical practitioners need to concentrate on their
core mandate of administration of healthcare rather than the administration of information systems.
To bridge the obvious gap that exists between the two fields, health informatics certifies health
Practitioners after a brief period of training. In the United States, The American Nurses
Credentialing Center is one of the bodied that accredits health practitioners with a health
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informatics certification (Bennett & Hauser, 2013). The procedure regulates the discipline and
creates standards to be met.
Discussion Board 2: Privacy, Confidentiality and Security
The Health Information Exchange (HIE) program was adopted by Congress to promote
“the safe sharing and coordinated use of health information between institutions using federally
approved interoperability standards at a local state-level. In practice, several channels exist that
can be used to accomplish the goal of information sharing and dissemination. The rolling out of
the program meant that state institutions and organizations could choose methods that best suited
them while meeting the safest standards of health informatics (Bennett & Hauser, 2013).
Flexibility is a key component of the program and finding local solutions is emphasized throughout
the documentation.
Each state has its health informatics coordinator to assist in the seamless fusion of their
systems with other states. In California, the HIT coordinator is based under the California Health
and Human Services Agency. At a local level, HIE is administered in a two-tier system of
community initiatives and enterprise organization or entities. Community initiatives are localized
HIE organizations that tap into unaffiliated health centers surrounding a specific region. Both tiers
are allowed to have their own local arranged solutions to information dissemination and sharing.
Within the enterprise framework, the network is supported by a single health facility, usually a
level 4 or 5 hospitals with one integrated network (Bennett & Hauser, 2013).
Currently, HIE’s are operational in 39 counties out of the total number of fifty-eight
counties within the state of California. Health Information Organization (HIO) within the state
receive and send over five million ATD messages every week which represents the number of
patients seeking healthcare within the same period. The HIE program in California serves more
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than just hospitals with coverage within the primary healthcare facilities. Localized HIOs offer
SMS services to their clientele with a wide reach to the community in addition to alerts that are
synchronized statewide (Bennett & Hauser, 2013).
Discussion Board 3: Governance, Compliance and Health Policy
Health literacy is defined as a patient’s ability to understand health information provided
to them by healthcare providers. The ability to make sense of health information is a factor of more
than just the ability to read, write or hear. A patient’s level education, earnings, social background
and others determine the level of understanding. A patient’s acceptance of a Personal Healthcare
Record by a patient also depends on their healthcare literacy levels. The research article aims at
finding the extent to which the health literacy of a patient determines whether they will accept the
personal health record system or not (Braunstein, 2014).
The ability to store healthcare records has enabled healthcare professionals to better serve
their patients through a personal information management system that is encouraged and driven
by the federal government. Advantages of PHR are well documented and include the concept that
the patient is more proactive in his/her health management. Engagements between the healthcare
professional and patient are also improved (Braunstein, 2014). The research has two null
hypotheses that the younger educated patients have a higher probability of accepting PHR over
older less educated patients.
The hypothesis is rejected as the figures obtained are not supportive or significant enough.
The second hypothesis that patients who have high levels of e-health literacy are more willing to
accept PHR than less educated e-health individuals is accepted. Therefore, the research concludes
that age and levels of education have little impact on the acceptance of PHR or other medical
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programs (Braunstein, 2014). However, active education of individuals puts them in a better
position to accept or reject medical programs irrespective of their age or gender.
Discussion Board 4: The Use of Information Systems in the Delivery of Healthcare
Stakeholders in the delivery of a healthcare IT system includes Board members of the
facility, Clinicians, Chief medical officer, Patients, Vendors and a billing team. Each of these
groups has their interests to be served and are also critical in any successful implementation of the
program. For purposes of clarity, we group them into administration, financial stakeholders and
other groups as discussed below (Bennett & Hauser, 2013) . First, Financial stakeholders are
important as any implementation will need some form of financial backing to be successful. This
group includes the board members, CEO and the CFO who will have to undertake the financial
soundness of any project.
Financial stakeholders determine if the project brings value to the health facility and
whether it is acceptable from a financial feasibility study. Secondly, medical leaders are a key
component of stakeholders. The Chief Medical Officer and head of departments will need to
evaluate if the IT system meets their specific requirements and demands of their teams. Concerns
raised by these group are taken into account. Thirdly, the end users of the IT system have to be
consulted and brought on board. Clinicians fall under this broad category and are used to asses the
impact of the project on a day to day running of the facility (Bennett & Hauser, 2013) . The
program will also primarily be run and used by clinicians and it is therefore critical that they can
use it with ease.
Patients are also a critical component of the stakeholders. They are the primary target in
improving the provision of healthcare. Vendors of the IT system are important stakeholders as they
determine if the system is compatible with the current systems in place or whether they can be
tailored to meet any specifications.
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Discussion Board 5: E-Patient, Social Networking and Personal Health Record
The Health Information Security and Privacy Collaboration (HISPC) is a binding
agreement by several states within the United States to coordinate the safe sharing of healthcare
information in an organized and safe manner. HISPC primarily seeks to address the privacy and
security concerns raised through the sharing of healthcare information (HealthIT.gov, 2019).
Currently, California is a signatory state and participates in the project. The project was aimed the
security gaps that existed between the different states and bridged them through having a solitary
framework that cuts across the board (HealthIT.gov, 2019).
As earlier mentioned, California is actively involved in other statewide medical
collaborative efforts like the Personal Healthcare Records. This collaboration between the various
states is important for setting up a national standard for healthcare information privacy. The
existence of the benchmark provides a guiding principle through which other healthcare providers
can operate within. Additionally, the framework allows for the creation of an integrated system
with intertribally systems. Systems that can seamlessly integrate information are much easier to
protect against malicious attacks as one solution can be a fit for all (HealthIT.gov, 2019).
The collaboration between the states is also important for the preservation of privacy and
building of patient-doctor trust. The existence of a system that guarantees privacy encourages the
patients to accept other medical programs like the Personal Health Record as a result of the
knowledge that their information is safely protected against other third parties. In case of any
breaches, the collaboration enhances the ability to protect better and recover information
(HealthIT.gov, 2019).
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Discussion Board 6: E-Patient, Social Networking, and Personal Health Record
The affordable healthcare act aims at reducing the accessibility of cheaper and more quality
healthcare services to a majority of the citizens of the United States. The implementation of
healthcare IT technology can go a long way in ensuring that the objectives of the affordable
healthcare act are met. Healthcare IT offers a value-based program that tabulates the value of work
done by practitioners. Information recorded by IT systems is key to this end as clinicians can be
graded based on the data collected over some time Nelson & Staggers, 2018).
Healthcare IT will increase accountability by health professionals as systems better record
the interaction between the patient and clinician. Institutions and organizations can be held
accountable as to any decision that they undertake. Accountability is a key pillar within the
affordable healthcare act and as the information systems grow, the comparison between different
health facilities and providers further provide a benchmark for accountability Nelson & Staggers,
2018).
The affordable healthcare act provides for a patient-centered system of healthcare
dissemination with an emphasis on primary care. Healthcare IT can provide for a patient-centered
health system with whoever getting served first being based on necessity drawn from the available
data and not otherwise. Additionally, patient-doctor engagements increase as healthcare IT is
rolled out across the sector. It also eases the effort and time taken to conduct the engagement which
can be done on a more personal level. Healthcare IT systems have also been credited with better
organizing local healthcare providers into better units of combating health hazards and epidemics
as per the outlines of the affordable healthcare act Nelson & Staggers, 2018).
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Discussion Board 7: Selection, Implementation, and Delivery
The progress of health informatics into the mainstream of the healthcare system has opened
up vacancies to be filled by qualified personnel within the discipline. Personnel chosen to operate
within the discipline should however have a key set of core skills to serve their purpose efficiently.
Communication skills are an important instrument in any healthcare system Nelson & Staggers,
2018). Most of the challenges revolving around health informatics include solving difficulties with
change management. The operator has to have an understanding of the human social dynamics of
the workforce in the healthcare system. Any changes within the system ought to be explained to
the clinicians in a language they best understand and that enhances their output.
Additionally, an operator must have good organizational skills. Health informatics includes
organizing the different arms of any healthcare set up. The differing schedules between clinicians,
management and other groups have to follow coordinated pattern with the most pressing issues
allocated first. Leadership skills will also come in handy as they frequently have to lead their
respective teams towards reaching their goals. Leadership skill is compounded with the ability to
communicate effectively and in a precise manner (HealthIT.gov, 2019).
Programming skills although not a necessity is important more so when operators have to
find solutions locally in a fast-moving environment. An understanding of the configurations and
system architecture allows the operator to diagnose solutions on a case by case basis without lags
in between. Health informatics faces multiple challenges in its implementation on a global scale.
First, most patients are not e-health educated enough to partake in the system and make it viable
in most countries (HealthIT.gov, 2019). Additionally, the different languages across the world
make it's hard to roll the program across the globe. Some places in the world are also not within
the main grid and cannot be accessed sustainably over an extended period. The challenges can be
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overcome by localizing health informatics instead of seeking to have a global or regional system
to serve all.
Discussion Board 8: Information Age, Future, and Big Data
The increase in treatment options, ailments and numbers of healthcare providers make the
system rather crowded without optimal solutions to medical questions that may be posted. A need
to find the optimal answer to any question therefore exists within the medical profession (Bennett
& Hauser, 2013). The advent of artificial intelligence provides a route through which medical
questions can be answered while eliminating the human feature within decision making. In doing
so, the element of human error is eliminated and the prices made much more efficient (Noblin &
Fottler, 2014).
Within the “Artificial intelligence framework for simulating clinical decision-making: A
Markov decision process approach” research, Bennett investigates the feasibility of such a
proposal that relies on artificial intelligence. Bennett’s approach couples the Markov decision-
making process with dynamic decision networks (Bennett & Hauser, 2013). Sequentially
hypothesized decision-making simulations are then run on the program to determine its
effectiveness on a case by case basis. The process is repeated to determine its authenticity. In
certain decision sets, key information is removed to gauge its performance in a real-life replica
scenario (Noblin & Fottler, 2014).
The results of the different simulation confirm the viability of artificial intelligence. First,
it outperforms the current model in the practice of treatment-as-usual (TAU) case-rate/fee-for-
service. Additionally, its cost per unit was much lower as compared to the model mentioned above
with a difference of $306 per case. This is also considering that the model can be improved further
with every generation of computer technology.
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Embracing technology, while risky in some cases, is a route that the healthcare systems
must always seek to pursue. In addition to the cost factor, technology provides a more accurate
oriented health system which is the essence of any healthcare provider (Noblin & Fottler, 2014).
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References
Bennett, C., & Hauser, K. (2013) Artificial intelligence framework for simulating clinical
decision-making: A Markov decision process approach. Volume 57, Issue 1, Pages 9-19.
Retrieved from: https://doi.org/10.1016/j.artmed.2012.12.003
Braunstein, M. L. (2014). Contemporary health informatics. Chicago, IL: American Health
Information Management Association. ISBN: 9781584260318.
HealthIT.gov. (2019) Health Information Security & Privacy Collaboration (HISPC). Retrieved
from: https://www.healthit.gov/topic/
Nelson, R., & Staggers, N. (2018). Health informatics: An interprofessional approach (2nd ed.).
St. Louis, MO: Elsevier. ISBN: 9780323402316.
Noblin, A., Wan, T., & Fottler, M. (2014) The Impact of Health Literacy on a Patient's Decision
to Adopt a Personal Health Record. Retrieved from:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510648/