MHA FPX 5016 Assessment 3 Health Information Improvement Implementation Proposal

MHA FPX 5016 Assessment 3 Health Information Improvement Implementation Proposal

MHA FPX 5016 Assessment 3
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    Health Information Improvement Implementation Proposal

    Student name

    Capella University

    MHA FPX 5016

    Professor Name

    Submission date

    The proposed health information improvement initiative seeks to improve clinical efficiency and patient outcomes in Independence Medical Center by strategically optimizing the Epic electronic health record (EHR) system. The new project aims to modernize the system by using modern clinical decision support tools, improving communication with other healthcare facilities, and incorporating culturally responsive and accessible design features in clinical procedures (Alharbi, 2025).

    The existing issue of inefficiency in the clinical workflow, insufficient integration of social determinants of health (SDOH), and lack of language and access support for various groups of patients can be resolved with the help of these advances. Closing the existing gaps will enable the Independence Medical Center to be closer to the national priorities of value-based care and equity in health care and even foster its mission to deliver high-quality, inclusive, and safe care across all its service lines.

    Background

    Independence Medical Center, as their electronic health record system, already implements Epic throughout their organization, and this has facilitated their primary care, behavioral healthcare, lab services, radiological services, and telehealth centers. It has enhanced quick access to patient data, decreased medication errors, and numerous administrative processes such as electronic documentation, e-prescriptions, clinical decision-making, and a patient portal (Alharbi, 2025). Because of its modular design, it can be tailored to several clinical specialties and has built-in analytics capabilities to implement population health programs and continuous quality improvement initiatives.

    Despite these strengths, there are a number of weaknesses that do not allow optimum performance. There have been reports by clinicians of usability shortcomings, especially in a behavioral health care environment, whereby the template documentation fails to align with the mental health procedures. Also, they do not interoperate with other non-Epic systems where various community partners can work, and care cannot be easily integrated (Walker et al., 2023).

    The lack of inbuilt social determinants of health-screening instruments and excellent multilingual assistance further undermines the high-quality provision of care to various and underserved patient groups, which results in operational performance and adherence of the medical facility to diversity, equity, as well as embracing.

    Project Objectives

    The major objective of the initiative is to enable the Epic EHR within the Independence Medical Center to have the capacity to deliver equitable, smart, and interconnected care with the aim of supporting and meeting the entire range of needs of patients. The implementation of AI-based solutions, which consider risk factors (social, behavioral, and environmental factors) in clinical decision-making, will help enhance clinical decision-making by the provider to provide more personalized and informed care.

    It is also concerned with the enhancement of information exchange by building upon the FHIR-based connections to the local clinics and the local healthcare networks, which will enable the continuity of care across the settings. In addition, the patient portal will be revamped to provide accessibility in other languages and comply with the requirements of the WCAG 2.1 standards of accessibility, which will make the services available and address the needs of different groups of patients (Tabari et al., 2024).

    One of the secondary project outcomes is the clinician burnout reduction and the decrease in administrative load through the implementation of voice-based documentation and role-specific workflow automation. The personalization of Epic interfaces is anticipated to enhance usability, satisfaction, and adoption by making them more suitable to the processes of psychiatrists, therapists, and primary acute care providers. All the mentioned enhancements will assist Independence Medical Center in being more prepared in meeting the evolving regulatory requirements, improving the quality performance indicators, and being a more responsive and patient-centered care provider.

    Scope of the Project

    The three keystones of Epic in Independence Medical Center that will be discussed in this program are the clinical documentation and clinical decision support system, MyChart patient portal, and the interoperability framework, facilitated by Care Everywhere and FHIR-based APIs. The piloting will be conducted in the units of behavioral and adult acute care since this is the first place where the benefits will be observed and subsequently be extended to the other organizational units. The project boasts Epic reusing the existing infrastructure so that they can make the improvements in a progressive and scalable manner instead of replacing the current EHR (Chishtie et al., 2023).

    The second important aspect of the plan is the comprehensive staff training and proposed change management and feedback to ensure adoption. To guarantee that the implementation is informed by the reality of actual clinical processes and patient needs, inter-departmental coordination with IT staff and clinical informatics professionals, DEI leaders, and direct clinicians will lead to implementation. The attributes of choosing the AI functionality and language accessibility would be acquired through one of the vetted third-party vendors, which would allow the Independence Medical Center to control the costs without compromising the smoothness of integrating into the Epic environment.

    Description of Current Issues

    Independence Medical Center is experiencing three major issues surrounding its implementation of Epic EHR. First, the available clinical decision support tools do not incorporate the social, economic, and cultural aspects of the patient, which restrains clinicians in their capability to treat social determinants of health that have a strong impact on the outcomes of vulnerable populations (Novilla et al., 2023). Second, smaller community clinics and behavioral providers, not part of the Epic network, do not achieve full interoperability, resulting in fragmented records of patients and delays in transitions of care.

    Third, the patient portal is predominantly English and lacks many accessibility options, and this restricts the use of the portal by non-English speakers and people with disabilities, ultimately influencing portal satisfaction and use. Also, clinicians report increased workload and burnout due to documentation processes lasting hours and utilizing generic templates, which are ill-suited to workflow-specific to specialty, resulting in burnout and lower system adoption.

    Proposed Improvements

    To overcome these challenges, Independence Medical Center proposes three Epic EHR system improvements that are evidence-based. Firstly, the system of clinical decision support that will be generated by AI will be provided to process patient data and provide real-time and risk-based clinical guidelines, social determinants of health analysis, such as housing insecurity and access to food (Elhaddad and Hamam, 2024). As well, the behavioral health clinicians will be directly engaged in the design to guarantee the tool addresses the real clinical needs and to make real-life decisions.

    Second, the organization will improve the use of interoperability and collaboration with the local health information exchange based on FHIR to allow the reciprocity of data exchange with the community clinics, pharmacies, and other public health agencies to have more detailed and timely information about the patients (Olakotan et al., 2025). Third, the basic MyChart patient portal will be upgraded to allow multilingual functionality, at least ten languages, and accommodate the task of accessibility tasks, such as screen readers and high-contrast display, and simpler navigation per the requirements of the WCAG 2.1 to ensure that patients receive equal treatment and find it easier to use it.

    Expected Benefits

    These enhancements of the systems will be in a position to produce quantitative impacts on the effectiveness of clinical and patient engagement in the Independence Medical Center. The time spent by clinicians in documentation has been approximated to be cut down by about 20 percent, and the number of patients who access the patient portal has increased by an average of 25 percent among the non-English speakers since the languages are very conveniently available. Additional interoperability will lessen unwarranted testing within a comparatively short time, and enhanced clinical choice contributions will minimize the emergence of medication mistakes and overlooked interventions because of social determinants of wellbeing and will have a direct impact on securing patients and maintaining their safety in the event of preventive intervention (Changaris, 2025).

    Such improvements will take some time to enhance care coordination across the continuum, enhance patient satisfaction and retention, and emphasize quality performance measures relating to equity and population health. By integrating the ideas of diversity, equity, and inclusion into the design of EHR, Independence Medical Center can become an innovator of inclusive digital health and adhere to the national agenda, such as the Healthy People 2030 program and the CMS Health Equity Framework.

    Measurement of Benefits

    Measurable and experiential feedback will be incorporated to measure success at the Independence Medical Center. The two main KPIs will be a 15 to 25 percent decrease in the number of needless laboratory and imaging orders during the first year and the second year, respectively, and a 25 percent growth in the popularity of multilingual patient portal use (Talebpour et al., 2025). Additional measures are an increase in provider satisfaction with the EHR system by 10 points, and unmet social determinants of health resulted in 30-day readmission decreased by 20%.

    The Epic Caboodle analytics will be applied to analyse the quantitative data after every quarter and validated by the external reporting dashboards. Through the help of the bi-annual focus groups of frontline clinicians and patient advisory councils, qualitative data will be collected along with the numerical measure as well. In these sessions, using the help of thematic analysis, the perceptions of the effectiveness of workflow, the quality of communication, and cultural responsiveness will be evaluated. The results will be provided against the pre-implementation benchmarks and given to the EHR Optimization Committee to guide the constant improvement and optimization of the system.

    Financial Evaluation

    The amount of money Independence Medical Center will spend within the initial year is up to 1.7 million in terms of the personalization of the Epic system, interoperability improvement, employee training, and accessibility improvement. It is assumed that the organization will realize an approximate one-year cost-recovery and revenue enhancements, as well as a 500,000 stretch of intangible advantages in the shape of equity, investment in patients, and quality of care, amounting to a total advantage of a five-year estimate of 5.75 million (SPsoft, 2025). This has been divided into three recommendations.

    To begin with, the medical center must factor in the step-by-step approach of implementation in which social-determinants-informed clinical decision support and voice-based documentation should be considered at the top of the list of priorities at the earliest stages of implementation, as they would enable the medical center to realize faster financial benefits. Secondly, an EHR optimization committee comprised of multidisciplinary personnel ought to be created to track the performance indicators and watch the payback after the investment and reinvest the yielding savings.

    Third, the focus on CDS enhancement and documentation automation should be preserved due to the fact that the two features implement the maximum value in the short-term and react to the long-term clinical and strategic objectives (Sutton et al., 2020). All these measures are positive steps towards a technically and strategically sound decision of the Independence Medical Center.

    Implementation Plan

    In the implementation of the Epic EHR in the Independence Medical Center, the 18-month process is to be carried out in four stages. The stakeholder engagement, the selection of vendors, and the collection of baseline data are Phase 1 (Months 13), and will be coordinated by the Chief Medical Information Officer (CMIO) and the DEI Office. Phase 2 (Months 4-9) will concentrate on system customization, system interoperability integration involving FHIR, and the enhancement of the patient portal, which is the responsibility of the IT department and Epic consultants. Phase 3 (Months 10 15) will involve pilot testing at the behavioral health and adult acute care units where role-specific simulation training will be offered by Clinical Informatics and Human Resources.

    Phase 4 (Months 16-18) will be the full organization-wide integration, performance appraisal, and decisive results identification. The benchmarks planned to be achieved will include the end of Month 8 completion of interoperability testing, 90% of the staff should have finished the training by Month 12, and full systems go-live by Month 18. The implementation will be assigned to clinical, IT, and administrative leaders so that they are also answerable for the implementation, and they will report any concerns connected to the implementation plan.

    Conclusion

    This is a long-term equitable approach to modernizing the Epic EHR of Independence Medical Center to a more intelligent system, which allows all- inclusive and patient-centered care. The enhancements will lead to clinically significant efficiency, patient safety, and clinical outcomes, since any gaps in interoperability, cultural responsiveness, and clinical decision support will be closed. This is a project worth undertaking long-term because it is financially viable, fully dedicated, and with a detailed implementation strategy; the success of the Independence Medical Center as an equity-based and highly technological institute of medicine will be driven by this project.

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        Below are the references for MHA FPX 5016 Assessment 3 Health Information Improvement Implementation Proposal:

        Changaris, M. (2025). Enhancing primary care for older adults: The safety, efficacy, and adherence (SEA) team-based care model to reduce adverse medication outcomes. Frontiers in Public Health13(24). https://doi.org/10.3389/fpubh.2025.1453485

        Elhaddad, M., & Hamam, S. (2024). AI-driven clinical decision support systems: An ongoing pursuit of potential. Cureus16(4). https://doi.org/10.7759/cureus.57728

        Novilla, M. L. B., Goates, M. C., Leffler, T., Kenneth, N., Wu, C., Dall, A., & Hansen, C. (2023). Integrating social care into healthcare: A review on applying the social determinants of health in clinical settings. International Journal of Environmental Research and Public Health20(19), 6873–6873. https://doi.org/10.3390/ijerph20196873

        SPsoft. (2025, August 27). Epic EHR Cost: A Detailed CFO’s Guide to Calculating Your ROI. SPsoft. https://spsoft.com/tech-insights/epic-ehr-cost-for-calculating-roi/

        Sutton, R., Pincock, D., Baumgart, D., Sadowski, D., Fedorak, R., & Kroeker, K. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. Nature Partner Journal Digital Medicine3(1), 1–10. https://doi.org/10.1038/s41746-020-0221-y

        Tabari, P., Costagliola, G., Rosa, M. D., & Boeker, M. (2024). State-of-the-Art FHIR-based data model and structure implementations: A systematic scoping review (Preprint). Journal of Medical Internet Research Medical Informatics12(21). https://doi.org/10.2196/58445

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          Dr. Nicole McGuire

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