NURS FPX 6412 Assessment 3 Manuscript for Publication
NURS FPX 6412 Assessment 3 Manuscript for Publication
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 designed for submission to the Journal of the American Medical Informatics Association (JAMIA) and focuses on the implementation of Epic Systems as an Electronic Health Record (EHR) initiative at Sunrise Health Care. JAMIA is recognized for publishing cutting-edge research on health informatics and digital health technologies. The journal covers various topics, including EHR systems, data analytics, and clinical decision support, aiming to advance the field through evidence-based findings and innovative practices in medical informatics.
The manuscript evaluates the effectiveness of Epic Systems in streamlining workflows, enhancing patient safety, and achieving quality outcomes at Sunrise Health Care. It aligns with organizational strategic goals and provides recommendations for further improvements to meet stakeholder needs, optimize outcomes, and increase patient satisfaction.
Evaluation of Epic Systems EHR Use for Interprofessional Stakeholders
The implementation of Epic Systems at Sunrise Health Care represents a critical step in optimizing interprofessional collaboration and stakeholder engagement through the use of EHRs. As a leading EHR platform, Epic is designed to streamline workflows, enhance patient safety, and improve overall healthcare quality (Chishtie et al., 2023). Within an interprofessional care team, Epic facilitates seamless communication, data sharing, and coordinated care planning, all of which are vital for delivering high-quality patient care.
At Sunrise Health Care, Epic’s comprehensive patient records and decision-support tools improve diagnostic accuracy and treatment planning for physicians (Chishtie et al., 2023). Additionally, Epic’s integration with clinical guidelines supports physicians in adhering to evidence-based practices, improving patient outcomes. Nurses benefit from Epic’s user-friendly interface, which supports accurate documentation and real-time patient monitoring (Jiang et al., 2021), reducing the likelihood of errors and maintaining patient safety.
Improving Workflows for Safety and Quality Outcomes
Epic Systems has significantly improved workflows at Sunrise Health Care, enhancing patient safety and quality outcomes. The platform’s streamlined processes allow healthcare workers to access holistic patient information in real time, promoting seamless communication across the care continuum (Jiang et al., 2021). For instance, when a patient is transferred from the emergency department to an inpatient unit, all relevant care team members can instantly access the patient’s history, lab results, and treatment plans, reducing errors and improving patient safety.
Epic’s clinical decision support (CDS) tools also contribute to safer practices by offering evidence-based alerts, reminders, and clinical guidelines directly within the workflow (Alexiuk et al., 2024). These tools help clinicians make informed decisions quickly. Furthermore, Epic’s ability to integrate decision support, clinical documentation, and order entry fosters a holistic approach to patient care and enhances communication among interdisciplinary teams (Adeniyi et al., 2024).
Supporting the Strategic Plan of Sunrise Health Care
The integration of Epic EHR at Sunrise Health Care is closely aligned with the institution’s strategic plan, which emphasizes patient care, operational efficiency, and collaboration. Epic supports these goals by enabling healthcare providers to make accurate decisions based on reliable and centralized patient data, enhancing clinical outcomes and patient satisfaction (Johnson, 2024).
Epic also enhances operational efficiency by automating routine tasks such as documentation, billing, and scheduling, thereby reducing administrative burdens (Wang et al., 2024). This not only leads to cost savings but also allows staff to focus more on patient care. The system’s interoperability with other healthcare technologies further improves operational efficiency (Chishtie et al., 2023).
Recommendations for Improvement
Several recommendations are made to optimize the use of Epic EHR at Sunrise Health Care. First, ongoing training for all stakeholders is crucial. Regular training sessions will ensure that staff are proficient in using Epic’s advanced features, such as decision support tools and analytics, leading to fewer user errors and improved data accuracy (Ali et al., 2023). Additionally, customizing the EHR interface to meet the specific needs of different stakeholders can enhance user experience and workflow efficiency (Sreejith & Sinimole, 2024). Lastly, enhancing patient engagement tools within Epic is vital for improving patient satisfaction. Expanding the patient portal’s functionality and integrating telehealth services will empower patients to manage their health actively (Janssen et al., 2023).
Conclusion
In conclusion, the implementation of Epic Systems at Sunrise Health Care has significantly improved the organization’s ability to provide efficient, safe, and patient-centered care. Epic’s comprehensive platform has facilitated seamless interprofessional collaboration, enhanced diagnostic accuracy, and supported evidence-based decision-making through integrated tools and real-time data access. Epic’s ability to streamline workflows and reduce administrative burdens has allowed healthcare providers to focus more on direct patient care, thereby improving overall operational efficiency. By tracking patient data and enabling targeted interventions, Epic has also contributed to better health outcomes. To maximize Epic’s benefits, continuous staff training, interface customization, and the expansion of patient engagement tools are recommended.
Table: Evaluation of Epic Systems EHR Implementation at Sunrise Health Care
| Component | Impact on Stakeholders | Recommendations |
|---|---|---|
| Epic EHR Use | Streamlines workflows, improves patient safety, enhances decision-making for physicians and nurses (Chishtie et al., 2023; Jiang et al., 2021). | Provide ongoing training for all stakeholders to improve proficiency and reduce errors (Ali et al., 2023). |
| Workflows and Quality Outcomes | Real-time access to patient data improves safety and reduces errors (Jiang et al., 2021). CDS tools enhance decision-making (Alexiuk et al., 2024). | Continue evaluating the EHR system to identify areas for improvement (Adeniyi et al., 2024). |
| Strategic Plan Alignment | Supports patient care quality, operational efficiency, and collaboration (Johnson, 2024; Wang et al., 2024). | Customize the user interface to meet the needs of different departments (Sreejith & Sinimole, 2024). Enhance patient engagement features, including telehealth capabilities (Janssen et al., 2023). |
References
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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
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
NURS FPX 6412 Assessment 3 Manuscript for Publication
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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
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NURS FPX 6412 Assessment 3 Manuscript for Publication
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), 100206–100206. https://doi.org/10.1016/j.joitmc.2023.100206
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