epicEMR1Bola.pptx

Implementation of a New Electronic Medical Record EMR (Epic)

Bolade Yusuf

08/18/2021

Epic – EMR

Issues

Adoption of epic EMR has been limited due to challenges such as; high initial costs, lack of trained resources, Underestimated change management required & lack of proper alignment.

Why epic?

Less paper/storage

Reduced redundancy and increased operational efficiency

Great data accuracy.

Better reporting capabilities.

Improved patient control and transparency.

Research authors’ goals

Formulate a guide on effective implementation of epic EMR across healthcare facilities.

Introduction

Health care information need to be collected correctly, and stored in a manner which abides by the principled of confidentiality, integrity and accessibility (Kaushal et al., 2009).

A good health information management system should also ensure ease retrieval of data wherever needed. A doctor or medical practitioner shouldn’t find it hard to get data on a patient when in the process of treatment.

Medical records refers to the documentation of a patient’s medical/health history and care over a period of time within a particular health care provider’s geographical coverage (Jha (a) et al., 2009).

Telehealth is defined as exchanging medical information electronically

from one site to another with the purpose of improving patients’ health

Telehealth is used between clinician to clinician, clinician to patients as well as

patient to mobile health technology.

The increasing global health spending has enabled healthcare organizations to adopt emerging health technology for chronic disease management and cost-effectively provide customized and preventive treatment.

Introduction

Electronic Medical Records (EMR) also referred to as electronic health records (EHR) or simply health charts ensures digital collection, storage and retrieval of patients medical records.

The EMR gives a real-time information concerning a patient’s interaction with a specific health care provider. With the holistic approach offered by EMR, practitioners can prescribe the best medical attention to a patient as per the data at their disposal.

Patient data is medical information held about an individual patient. Access to a particular patient’s health history greatly determines the type of medical attention such a patient gets.

Although global health expenditures are expected to grow to $18.28 trillion by 2040, the future of Healthcare organizations' is poised to utilize developments in Telehealth technology and big data analytics to provide preventive medicine and customized healthcare through value-based treatment models.

Although Telehealth and technology aspects have existed for decades, the Covid-19 pandemic has taken Telehealth to the mainstream in the face of a worldwide crisis that is demolishing health facilities.

Telehealth enables patients to be tracked remotely and their condition development controlled through constant evaluation; whereas Big Data Analytics integrates data obtained from Telehealth modality covering both objective data (e.g. vital signs, ambient environment) and subjective detail (e.g. symptoms and patient behavior).

Related Work

While Cedars-Sinai has a good reputation in medical innovation, their EMR implementation was a failure which is often used as Cautionary to anyone intending to acquire an EMR platform.

Much of the failure was associated with the introduction of many decisions support mechanisms way after the actual deployment. Pre implementation planning was poorly done thus such important support functionalities had been left out. Much of the drugs and prescription module had been left out. Insufficient training and lack of system testing also attributed to the failed implementation at Cedars-Sinai facility. More critically, a phased approach wasn’t used as always recommended for such systems which hugely turned out to be a costly mistake.

Related Work

Veterans Administration (VA) implemented a national EMR system called VistA in 1999 which was a success. The success was majorly attributed to its comprehensive roll out plan for the system. Careful planning and collaboration with IT personnel, subject matter experts and end users was critical to the success as it led to creation of a workable system. The system’s 24/7 technical support and timely feedback sessions were highlights of the success story. Buy-in was achieved at all levels throughout the organization prior to implementation (Sameer & Krista, 2010).

Features of an Effective epic EMR System?

Patient portal. This forms the initial point of contact between service provider and the patients. It give the doctor a 360-degree view about the patient thus allowing for conscious decision making in addition to greatly saving time (Mostashari et al., 2009).

Patient history recordings. The stored information should be synchronous in that one can have a view of the patient in terms of allergies, previous procedures, treated ailments, any lab tests and even payment information

E-Prescribing. This feature gives automatic and instant notifications on drugs and any allergies as stored in the system database regarding the specific patient (Barbara & Ken, 2010).

Medical Billing Dashboards. Billing forms part of medical care process. A system which will be able to correctly and accurately accumulate and project all charges across the various treatment processes such as consultancy fee, lab fees and pharmacy fees is effective.

Telehealth has great potential to expand the capacity of healthcare to reduce risks, improve physicians-patients and patients-patients communication, and reveal unseen patterns or sensory features in a ubiquitous, personalized and continuous manner.

Continuation

Order Entry. This allows medical practitioner to enter, save and transmit a patient’s order compromising of prescription, medical tests and any other service offered.

Lab integration. Lab tests forms part of medical attention. Doctors will need to have access to lab tests results to give the right prescription. An EMR should therefore have a directly link to the laboratory where as results are updated, the doctor can view them without having to go through paper work filled by laboratory team.

Documents management. Documents should be easily managed and shared through the EMR without having to physically move the documents from on place to another.

Centralized Communication. Customer experience in key in care delivery. A good EMR should have an easy patient-doctor interaction. This should be management at a central point to ensure no unattended queries and also to enhance accountability.

The factors such as Patient-centered barriers, including inadequate mobility and regional distance, operating hours and missing appointments, can lead to appointment nonattendance followed by increased rate of deaths around the world. Additional obstacles to healthcare that can obstruct access to standard FTF services including administrative negligence, inadequate access to clinic facilities, restricted parking and undesirable clinic operating hours.

Through telehealth services one could facilitate and sustain lifestyle changes by managing shift in eating habits and are adjustable in time and location, with the ability to deliver comprehensive treatments that may not be possible for conventional treatment models.

Barriers to epic EMR Adoption

High capital costs and insufficient returns on investment. Good Electronic Medical Records systems are not cheap to acquire. Other overhead costs such as training, support costs and integration technicalities drives the cost even higher.

Underestimation of the change management required. More than often organizations fail to plan enough for deployment of an EMR platform as a result of overlooking the change management required.

Lack of alignment between clinical process and workflow to the EMR system. When effectively implement, an electronic Medical Records system should take over all processes in a facility dictating the work flow.

Continuation...

Concern that systems will become obsolete. EMR costs are high thus a fear in investing. With technology changing very fast, some facilities might feel in no time the technology will be irrelevant thus loosing the system as a whole.

Lack of skilled resources for implementation and support. EMR will need trained staff from deployment to its support. Many facilities lack enough staff with technical knowledge on supporting systems thus fail to adopt.

Concern regarding negative unintended consequences of technology. Organizations are always in fear of negative consequences brought about by new technology and systems.

Epic Implementation Plan

Establishment of project team - this will comprise of project manager (to lead team and own the project), the project sponsor, two (2) representatives from each unit; lab, pharmacy, accounts, 2 nurses, 2 physicians/doctors, 2 IT support staff, application developers and early adopters (test patients).

Formulate implementation Roadmap – this will be a blueprint plan on various steps in the epic EMR implementation.

Determine goals and timelines - the project team to come up with the overall success strategy and timelines for key milestones.

Post implementation support - IT team to offer support to users and ensure epic uptime.

Epic Implementation Roadmap

Continuation...

Define – the develops implementation standards and processes.

Measure – identification of master data and business processes to define specifications.

Analyze – validation of configurations and planning for production support.

Design – finalization of go-live plan and end-user training. Final epic EMR change and live production.

Go-live & verify – monitoring production performance, resolutuon of production issues and project closing.

Addressing epic EMR Implementation Challenges

Challenge Proposed Solution
Underestimation of the change required The management and drivers of the EMR adoption should engage all stakeholders well and in advance to seek for acceptance and support in the implementation. EMR is purely about streamlining processes and improving on efficiency thus shouldn’t be shunned away.

Continuation...

Challenge Proposed Solution
Lack of alignment between clinical process and workflow to the EMR system The implementation team need to understand all the current processes and workflows which will them be matched with the EMR processes and workflows. Any merging of processes whenever necessary should be documented so as not to reach dead-ends (Sameer & Krista, 2010).

Continuation...

Challenge Proposed Solution
Lack of skilled resources The implementation team need to understand all the current processes and workflows which will them be matched with the EMR processes and workflows. Any merging of processes whenever necessary should be documented so as not to reach dead-ends (Sameer & Krista, 2010).
High initial capital investment Though initial costs to acquire epic EMR might be high, when property implemented the revenue realized would easily justify the investment. It is therefore necessary for facilities to shift focus from the initial costs and rather focus on effective implementation which will bring high returns to cover for the initial costs which are one off costs

Data Analysis

This is systematic application of statistical and logical techniques to describe the data scope, modularize the data structure, condense the data representation, illustrate via images, tables, and graphs, and evaluate statistical inclinations, probability data, and derive meaningful conclusions. The researcher sought to identify the challenges faced by healthcare facilities in EMR adoption and specifically epic. From the identified challenges, the researcher then deduced various ways in which these barriers can be overcome. Data was collected through questionnaires. Secondary data was collected by reviewing literature, journals and related publications. In analyzing the data, the researcher tried to find answers to the research questions formulated at the beginning of the research.

Explored the models to identify the appropriate telehealth service candidates.

After comparing the decision tree model provided by heuristic decision tree telehealth classification approach (HDTTCA) and the logistic regression, the authors selected the decision tree model to solve the problem of telehealth patient classification for the following reasons:

For the perspective of sensitivity, two models performed equally well.

For the perspective of accuracy, specificity, and precision, the decision tree model worked better than logistic regression.

Compared the differences between the telehealth services and usual care for different populations.

From storing patients data, relaying lab tests results and showing patient’s history, EMR greatly improve on overall efficiency within a healthcare facility.

Lack of skilled resources to effectively implement and support EMR was noted to be a challenge in effectively adopting epic EMR. Not many of the small and medium healthcare facilities have a well established information technology (IT) department.

Aligning the epic EMR with the existing clinical process and workflow was noted to be a major challenge. In most cases, the healthcare staff didn’t understand how integrating processes to the EMR will be like.

Findings

Different studies focused on the different populations such as patients with type 2 diabetes.

Most studies indicated that there’s no significant difference between the telehealth services and usual care when comparing the life quality.

There’s one study showed the telehealth could modestly improve glycemic control among patients with type 2 diabetes, although it seems unlikely to produce significant patient benefit.

Investigated the tweets contents to identify the contributes of telehealth during COV-19 pandemic.

Study investigated the rapid shift in telehealth adoption amidst the recent coronavirus Covid-19 pandemics. The result showed the need for widespread implementation of digital health and the importance of supporting policy changes to unleash the power of this technology.

Conclusion

Data is a big asset to any organization. However, many entities lack clear systems which can store data and interrelate to give it meaning. Hospitals and other healthcare facilities have large pools of data concerning patients. By sorting and grouping this data, various processes and practices will be greatly shorted while at the same time improving on accuracy. This leads to cost cuts and increased revenues as a result of improve in efficiency and effectiveness. Epic EMR is such a system which can make healthcare facilities realize these benefits. Once it’s implementation and deployment has been properly done, these facilities stand a big chance in realizing its full potential and the benefits thereof.

References

Barbara, C. & Ken, C. (2010). Evaluating the Effectiveness of Electronic Medical Records in a Long Term Care Facility Using Process Analysis. Journal of Health Engineering.

Cooper, D. R., & Schindler, P. S. (2012). Business Research Methods (12th ed.). USA: McGraw - Hill.

Creswell, J.W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Prentice Hall.

Girosi F, Meili R & Scoville R. (2005). Extrapolating evidence of health information technology savings and costs. RAND Corporation.

Jha, A.K., DesRoches, C.M., Campbell, E.G., Donelan, K., Rao, S.R., Ferris, T.G., Shields, A., Rosenbaum, S., & Blumenthal, D (2009). Use of electronic health records in U.S. hospitals. The New England Journal of Medicine.

References

Jha A.K., DesRoches, C.M., Shields, A., Miralles, P.D., Zheng, J., Rosenbaum, S. & Campbell, E.G (2009). Evidence of an emerging digital divide among hospitals that care for the poor. Health Affairs.

Kaushal, R., Bates, D., Jenter, C., Mills, S., Volk, L., Burdick, E., et al. (2009). Imminent adopters of electronic health records in ambulatory care. Informatics in Primary Care.

Mostashari, F., Tripathi, M., & Kendall, M (2009). A tale of two large community electronic health record extension projects. Health Affairs.

Parente, S., & McCullough, J (2009). Health information technology and patient safety: Evidence from panel data. Health Affairs.

References

Sameer, K. & Krista, A. (2010). Overcoming barriers to electronic medical record (EMR) implementation in the US healthcare system: A comparative study. Health Informatics Journal. SAGE.

Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (5th ed.). England: Pearson.

Smith, Scott (8 April 2013). Determining Sample Size: How to Ensure You Get the Correct Sample Size. Qualtrics.

Vreeman D, Taggard S, Rhine M. & Worrell T (2006). Evidence for electronic health record systems in physical therapy. Physical Therapy Journal.