NURS FPX 6412 Assessment 3 Manuscript for Publication
Student Name
Capella University
NURS-FPX 6412 Analysis of Clinical Information Systems and Application to Nursing Practice
Prof. Name
Date
Manuscript for Publication
This manuscript is prepared for submission to the Journal of the American Medical Informatics Association (JAMIA), a leading peer-reviewed journal in the field of health informatics and digital health systems. JAMIA focuses on scholarly work related to electronic health records (EHRs), clinical decision support systems, health data analytics, and informatics-driven improvements in care delivery.
This study specifically examines the implementation of Epic Systems as an EHR platform at Sunrise Health Care. The analysis highlights how the system contributes to improved clinical workflows, enhanced patient safety, and overall healthcare quality. In addition, the manuscript evaluates alignment with organizational strategic priorities and presents evidence-based recommendations to strengthen stakeholder engagement, optimize clinical outcomes, and improve patient satisfaction.
How does Epic Systems EHR support interprofessional stakeholders at Sunrise Health Care?
The adoption of Epic Systems at Sunrise Health Care represents a significant advancement in enabling coordinated, interprofessional healthcare delivery through digital transformation. Epic is widely recognized as a comprehensive EHR platform designed to improve workflow efficiency, strengthen patient safety mechanisms, and enhance quality of care delivery (Chishtie et al., 2023).
Within multidisciplinary teams, Epic facilitates integrated communication and real-time access to shared patient data. This ensures that physicians, nurses, and allied health professionals can collaborate effectively without information fragmentation. The system also supports structured care planning, which is essential for maintaining continuity and consistency in treatment approaches.
For physicians, Epic enhances diagnostic accuracy through embedded clinical decision support and consolidated patient histories. These features encourage adherence to evidence-based clinical guidelines and reduce variability in care (Chishtie et al., 2023). Nurses benefit from streamlined documentation tools and real-time monitoring capabilities, which contribute to improved accuracy in clinical records and early detection of patient deterioration (Jiang et al., 2021).
How does Epic improve workflows, patient safety, and quality outcomes?
Epic Systems significantly improves operational workflows at Sunrise Health Care by enabling real-time access to comprehensive patient records across departments. This integrated data availability reduces communication gaps and supports timely clinical decision-making (Jiang et al., 2021).
For example, during patient transfers between emergency and inpatient units, clinicians can immediately access diagnostic results, medication history, and care plans. This continuity reduces medical errors and enhances patient safety.
Clinical Decision Support (CDS) tools embedded within Epic further strengthen care quality by providing automated alerts, evidence-based reminders, and treatment recommendations during clinical workflows (Alexiuk et al., 2024). These tools assist healthcare professionals in making timely and accurate decisions.
Key workflow improvements include:
- Reduced duplication of clinical documentation
- Faster clinical decision-making through integrated alerts
- Improved coordination across interdisciplinary teams
- Enhanced medication and treatment safety checks
By integrating documentation, ordering systems, and decision support, Epic creates a unified care environment that promotes safety and efficiency (Adeniyi et al., 2024).
How does Epic align with the strategic objectives of Sunrise Health Care?
Epic Systems aligns closely with Sunrise Health Care’s strategic goals, particularly in the areas of patient-centered care, operational efficiency, and interdisciplinary collaboration. By consolidating patient data into a single system, Epic enables clinicians to make more informed and accurate clinical decisions, ultimately improving patient outcomes and satisfaction (Johnson, 2024).
The system also improves organizational efficiency by automating administrative tasks such as scheduling, billing, and clinical documentation. This reduces staff workload and allows healthcare professionals to focus more on direct patient care (Wang et al., 2024).
Additionally, Epic supports interoperability with other digital health systems, enabling efficient data exchange across platforms. This integration strengthens continuity of care and enhances system-wide coordination (Chishtie et al., 2023).
What improvements can further enhance Epic EHR utilization?
To fully optimize the effectiveness of Epic Systems at Sunrise Health Care, several targeted improvements are recommended:
- Continuous Staff Training: Ongoing education programs should be implemented to improve user competency in advanced system features such as analytics and clinical decision support, reducing errors and improving documentation quality (Ali et al., 2023).
- Interface Customization: Tailoring dashboards and workflows according to departmental needs can improve usability and reduce cognitive workload for clinicians (Sreejith & Sinimole, 2024).
- Enhanced Patient Engagement Tools: Expanding patient portal functionality and integrating telehealth services can improve patient participation in care management and increase satisfaction levels (Janssen et al., 2023).
Conclusion
The implementation of Epic Systems at Sunrise Health Care has significantly strengthened clinical efficiency, patient safety, and care coordination. The platform supports interprofessional collaboration by enabling real-time data sharing and integrated communication across care teams. It also enhances clinical decision-making through embedded evidence-based tools and structured workflows.
Furthermore, Epic reduces administrative burden and improves operational efficiency, allowing healthcare professionals to allocate more time to direct patient care. Despite these advantages, continuous improvement through training, interface optimization, and expanded patient engagement tools remains essential for maximizing system effectiveness and sustaining long-term value.
Table: Evaluation of Epic Systems EHR Implementation at Sunrise Health Care
| Component | Impact on Stakeholders | Recommendations |
|---|---|---|
| Epic EHR Use | Improves workflow coordination, enhances patient safety, and supports clinical decision-making across physicians and nurses (Chishtie et al., 2023; Jiang et al., 2021). | Implement continuous training programs to strengthen system proficiency and reduce documentation errors (Ali et al., 2023). |
| Workflows and Quality Outcomes | Enables real-time access to patient data, reducing errors and improving safety. CDS tools support evidence-based clinical decisions (Alexiuk et al., 2024). | Conduct routine system evaluations to identify inefficiencies and optimize performance (Adeniyi et al., 2024). |
| Strategic Plan Alignment | Supports patient-centered care, operational efficiency, and interprofessional collaboration (Johnson, 2024; Wang et al., 2024). | Customize system interfaces for departmental workflows and expand telehealth and patient engagement capabilities (Sreejith & Sinimole, 2024; Janssen et al., 2023). |
References
Adeniyi, A. O., Arowoogun, J. O., Chidi, R., Okolo, C. A., & Babawarun, O. (2024). The impact of electronic health records on patient care and outcomes: A comprehensive review. World Journal of Advanced Research and Reviews, 21(2), 1446–1455. https://doi.org/10.30574/wjarr.2024.21.2.0592
Alexiuk, M., Elgubtan, H., & Tangri, N. (2024). Clinical decision support tools in the EMR. Kidney International Reports, 9(1). https://doi.org/10.1016/j.ekir.2023.10.019
NURS FPX 6412 Assessment 3 Manuscript for Publication
Ali, S., Khan, H. M., Shah, J., & Ahmed, K. (2023). An electronic health record system implementation in a resource-limited country—lessons learned. Digital Health, 9(9). https://doi.org/10.1177/20552076231203660
Chishtie, J., Sapiro, N., Wiebe, N., Rabatach, L., Lorenzetti, D., Leung, A. A., … Eastwood, C. A. (2023). Use of Epic electronic health record system for health care research: Scoping review. Journal of Medical Internet Research, 25(1), e51003. https://doi.org/10.2196/51003
Janssen, A., Keep, M., Selvadurai, H., & Shaw, T. (2023). Health professionals’ experiences with a patient portal pre and post launch: A qualitative study. Health Policy and Technology, 12(3), 100761. https://doi.org/10.1016/j.hlpt.2023.100761
NURS FPX 6412 Assessment 3 Manuscript for Publication
Jiang, G., Dhruva, S. S., Chen, J., Schulz, W. L., Doshi, A. A., Noseworthy, P. A., … Drozda, J. P. (2021). Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes. Journal of the American Medical Informatics Association, 28(10), 2241–2250. https://doi.org/10.1093/jamia/ocab117
Johnson, R. J. (2024). EPIC® and high reliability in healthcare: An evidence-based commentary. Journal of Medical Informatics and Decision Making, 1(4), 84–96. https://doi.org/10.14302/issn.2641-5526.jmid-24-4893
Sreejith, R., & Sinimole, K. R. (2024). User-centric evaluation of EHR software through NLP-driven investigation: Implications for product development and user experience. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100206. https://doi.org/10.1016/j.joitmc.2023.100206
NURS FPX 6412 Assessment 3 Manuscript for Publication
Wang, Z., West, C. P., Vaa Stelling, B. E., Hasan, B., Simha, S., Saadi, S., … Murad, M. H. (2024). Measuring documentation burden in healthcare. Final Technical Brief Number 47. https://effectivehealthcare.ahrq.gov/sites/default/files/related_files/documentation-burden-prepub-tech-brief.pdf