NURS FPX 6412 Assessment 2 Presentation to the Organization

Name

Capella university

NURS-FPX 6412 Analysis of Clinical Information Systems and Application to Nursing Practice

Prof. Name

Date

Presentation to the Organization

Workflow/System Change

The adoption of Epic Systems at St. Paul Regional Health Center marks a critical transformation in clinical workflows. This transition is largely motivated by the need to integrate evidence-based practice into daily care delivery. Epic’s comprehensive EHR offers real-time access to detailed patient records, improving the accuracy and speed of decision-making. It helps eliminate redundancies, reduces documentation time, and fosters safer clinical environments through embedded alerts and reminders grounded in best practices (Bhati, 2023).

Additionally, the system standardizes essential processes like order entries and medication administration. These improvements are central to the hospital’s strategic mission of promoting data-informed care and coordination. By streamlining data collection and retrieval, Epic facilitates accurate, efficient, and personalized care. This shift not only elevates provider performance but also aligns with long-term organizational goals focused on patient satisfaction, clinical efficiency, and improved health outcomes (Sutton et al., 2020).

Supporting the Strategic Plan: Quality Outcomes and Decision-Making

Epic Systems strengthens St. Paul Regional Health Center’s strategic objectives by embedding clinical decision-making tools within the workflow. These tools support high-quality, patient-centered care by equipping providers with up-to-date data and analytics capabilities. By merging clinical guidelines with patient-specific information, the EHR enables customized treatment plans and prevents unnecessary interventions, thus enhancing care quality and reducing risk (Pawelek et al., 2022).

The platform’s analytics functionalities also allow the hospital to monitor performance metrics and identify areas for improvement. For example, chronic disease management is more consistent through automated alerts that prompt guideline-based interventions. Epic facilitates evidence-based care at both micro and macro levels—individualized patient treatment and institutional quality enhancement—thereby contributing to better safety, continuity of care, and clinical outcomes (Zhao et al., 2023).

NURS FPX 6412 Assessment 2 Presentation to the Organization

Strategic Objective	Contribution of Epic Systems
Data-driven Decision-Making	Real-time analytics and reporting tools
Improved Patient Outcomes	Customized care through integrated CDS tools
Operational Excellence	Automation of administrative and clinical workflows
Evidence-Based Practice Implementation	Embedded guidelines and real-time patient data access

Rationale for Workflow Changes for Stakeholders

The Epic Systems rollout was designed with consideration for all affected stakeholder groups. For healthcare providers, it introduces streamlined workflows and decision support tools that reduce cognitive burden and allow more time for patient interaction. By minimizing manual input and automating routine entries, clinicians can concentrate on delivering targeted care (Alexiuk et al., 2023).

Administrative staff gain from operational efficiencies such as automated scheduling, billing, and report generation. These functionalities decrease the likelihood of human error and improve data accuracy, aligning with the hospital’s quality improvement initiatives (Bhati, 2023).

Patients also benefit through improved care continuity and better communication. Features such as the patient portal enable users to manage appointments, access records, and interact with care teams. This transparency fosters trust and satisfaction, which are crucial for long-term engagement (Upadhyay & Hu, 2022).

Stakeholder Group	Benefits of Workflow Change
Healthcare Providers	Improved decision-making and reduced documentation burden
Administrative Staff	Streamlined administrative tasks and enhanced data management
Patients	Greater transparency and enhanced communication with providers
Interprofessional Teams	Improved collaboration via shared access to real-time data

Efficiency, Safety, and Satisfaction Through EHR Integration

The overall integration of Epic Systems has significantly optimized operations across the hospital. Clinical efficiency is boosted through reduced charting time and faster access to patient data, allowing more time for care delivery. Administrative functions, from billing to scheduling, are now more accurate and timely, reducing overhead and delays (Mou et al., 2022).

Safety has seen notable improvements, with embedded Clinical Decision Support systems offering prompts that mitigate the risk of errors. Standardized protocols within Epic also ensure compliance with established guidelines, promoting safer medication practices and diagnostic accuracy (Sutton et al., 2020).

Patient satisfaction is enhanced through better access to information and reduced waiting periods. The ability to directly communicate with care providers, check test results, and manage appointments empowers patients, fostering a sense of involvement in their care. These combined changes reflect a deliberate move toward holistic quality enhancement across all dimensions of care (Donnelly et al., 2022).

Domain	Impact of Epic Systems
Efficiency	Real-time data access, reduced manual tasks
Safety	Clinical alerts, medication safety, and protocol adherence
Patient Satisfaction	Improved communication and portal-based self-management

Conclusion

The integration of Epic Systems into the St. Paul Regional Health Center’s infrastructure has become a pivotal step toward redefining how care is delivered, managed, and evaluated. By addressing the needs of healthcare providers, patients, administrators, and interdisciplinary teams, the EHR has improved workflow efficiency, decision-making accuracy, and patient satisfaction. These outcomes not only align with but also reinforce the hospital’s strategic goals of providing exceptional, evidence-based, and patient-centered care.

References

Alexiuk, M., Elgubtan, H., & Tangri, N. (2023). Clinical decision support tools in the eMR. Kidney International Reports, 9(1). https://doi.org/10.1016/j.ekir.2023.10.019

Allen, D. D., & Pak, S. S. (2022). Improving clinical practice with person-centered outcome measurement. Person-Centered Outcome Metrology, 53–105. https://doi.org/10.1007/978-3-031-07465-3_4

NURS FPX 6412 Assessment 2 Presentation to the Organization

Avdagovska, M., Stafinski, T., Ballermann, M., Menon, D., Olson, K., & Paul, P. (2020). Tracing the decisions that shaped the development of mychart, an electronic patient portal in Alberta, Canada: Historical research study. Journal of Medical Internet Research, 22(5), e17505. https://doi.org/10.2196/17505

Bhati, D. (2023). Improving patient outcomes through effective hospital administration: A comprehensive review. Cureus, 15(10). https://doi.org/10.7759/cureus.47731

Chishtie, J., Sapiro, N., Wiebe, N., Rabatach, L., Lorenzetti, D., Leung, A. A., Rabi, D., Quan, H., & 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

Donnelly, C., Janssen, A., Vinod, S., Stone, E., Harnett, P., & Shaw, T. (2022). A systematic review of electronic medical record-driven quality measurement and feedback systems. International Journal of Environmental Research and Public Health, 20(1), 200. https://doi.org/10.3390/ijerph20010200

Mou, Z., Sitapati, A. M., Ramachandran, M., Doucet, J. J., & Liepert, A. E. (2022). Development and implementation of an automated electronic health record-linked registry for emergency general surgery. Journal of Trauma and Acute Care Surgery, Publish Ahead of Print. https://doi.org/10.1097/ta.0000000000003582

Pawelek, J., Baca-Motes, K., Pandit, J. A., Berk, B. B., & Ramos, E. (2022). The power of patient engagement with electronic health records as research participants (preprint). JMIR Medical Informatics, 10(7). https://doi.org/10.2196/39145

Petrovskaya, O., Karpman, A., Schilling, J., Singh, S., Wegren, L., Caine, V., Kusi-Appiah, E., & Geen, W. (2023). Patient and health care provider perspectives on patient access to test results via web portals: Scoping review. Journal of Medical Internet Research, 25(1), e43765. https://doi.org/10.2196/43765

NURS FPX 6412 Assessment 2 Presentation to the Organization

Scalia, P., Ahmad, F., Schubbe, D., Forcino, R., Durand, M.-A., Barr, P. J., & Elwyn, G. (2021). Integrating option grid patient decision aids in the EPIC electronic health record: Case study at 5 health systems. Journal of Medical Internet Research, 23(5), e22766. https://doi.org/10.2196/22766

Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. NPJ Digital Medicine, 3(1), 17. https://doi.org/10.1038/s41746-020-0221-y

Upadhyay, R., & Hu, X. (2022). Digital health and patient-centered care: Role of portals. Health Informatics Journal, 28(1), 1–12. https://doi.org/10.1177/14604582221077308

Vos, J., Goud, R., de Vos, M., & Peek, N. (2020). Health information exchange and collaboration: A scoping review of health information exchange frameworks. BMC Health Services Research, 20(1), 675. https://doi.org/10.1186/s12913-020-05480-3

Zhao, J., Cai, T., Wang, Y., & Choi, S. (2023). Evaluating the impact of clinical decision support on chronic disease outcomes. Healthcare Analytics, 3(1), 100046. https://doi.org/10.1016/j.health.2022.100046