NURS FPX 6426 Assessment 4 Evaluation of an Information System Change

Student Name
Capella University
NURS-FPX 6426
Professor name
Submission date
Overview Discussion with Stakeholders
Good morning, I am reporting the implementation results for the telemonitoring-enhanced electronic health record (EHR) system that was implemented at Mercy Medical Center. The system has proven to perform exceptionally well in each of the three pillars: a 99.7% uptime, 92% user adoption rate, and delivering greater clinical outcomes than projected, based on hospital length of stay.
Outcomes of quality care are achieved with better data accuracy and improved patient satisfaction in the quality of information framework, and lower costs of $4,760 saved per patient with a successful return on investment timeline of 17 months. Structural quality indicators validate strong organizational support in terms of full staff training completion, integration of hardware and software in each clinical area, etc.
Ongoing Monitoring Strategy and Implementation Timeline
The performance monitoring of the system is carried out systematically through weekly monitoring of system performance, monthly clinical outcome analysis, and quarterly stakeholder satisfaction assessments to ensure that the system is optimized and continually improved, and as part of the evaluation plan in implementing the evaluation. The monitoring approach includes varied automated systems to collect efficiency metrics, user feedback provided by clinical champions, and the use of quality improvement teams to measure outcomes, to create a full support structure that is comprehensive and pragmatic with regard to the utilization of resources.
Specific data points are monitored because they were found to correlate with patient safety improvements, organizational financial stability, and long-term sustainability (in support of Mercy Medical Center’s Strategic Objectives). The schedule comprises weekly technical reports, monthly clinical analyses, quarterly stakeholder reviews, and compliance audits every six months to continue to ensure these systems meet regulatory requirements and to enhance performance.
Key Takeaways and Fiscal Impact Summary
Two really compelling “takeaway” points for stakeholders are the remarkable ROI that was achieved after 17 months (as opposed to the projected ROI at 18 months) and the ongoing cost savings of $2.4M annually, which represents ongoing organizational value from the nursing informatics investment. Fiscal impact analysis indicates return on the $1.95 million investments required for implementation through decreased hospitalization costs, improved operational efficiencies, and long-term financial sustainability contributes to patient safety outcomes.
The evidence-based evaluation of the hospital’s ability to achieve meaningful benefits from the continued monitoring and optimization efforts will propel Mercy Medical Center to become a leader in innovative ways of using healthcare technology. The findings offer strong support for future informatics investments and create a successful blueprint to implement and assess technology throughout the organization.
References
Guerrero, K., Patton, P., Pepper, R., Santora, C., & Tolbert, L. (2025). Understanding leadership today: The evolution of the chief nursing officer. Nurse Leader, 23(3), 336–338. https://doi.org/10.1016/j.mnl.2025.01.002
Patel, S., Gardner, A. L., Valenza, J. A., Novak, K. F., Patel, T., Hasbini, T., Spears, R. D., Jeske, A. H., & Joy‐Thomas, A. R. (2025). Journal of Dental Education, 89(9), 1243–1248. https://doi.org/10.1002/jdd.13823
Schindler, S. E., Galasko, D., Pereira, A. C., Rabinovici, G. D., Salloway, S., Suárez-Calvet, M., Khachaturian, A. S., Mielke, M. M., Udeh-Momoh, C., Weiss, J., Batrla, R., Bozeat, S., Dwyer, J. R., Holzapfel, D., Jones, D. R., Murray, J. F., Partrick, K. A., Scholler, E., Vradenburg, G., & Young, D. (2024). Acceptable performance of blood biomarker tests of amyloid pathology — recommendations from the global CEO initiative on Alzheimer’s disease. Nature Reviews Neurology, 20(7), 426–439. https://doi.org/10.1038/s41582-024-00977-5
Solomou, T., Mappouras, S., Kyriacou, E., Constantinou, I., Antoniou, Z., Canciu, I. C., Neophytou, M., Lantos, Z., Schizas, C. N., & Pattichis, C. S. (2025). Frontiers in Digital Health, 7. https://doi.org/10.3389/fdgth.2025.1542485
Suleski, T., Ahmed, M., Yang, W., & Wang, E. (2023). A review of multi-factor authentication in the Internet of Healthcare Things. Digital Health, 9(1), 1–20. https://doi.org/10.1177/20552076231177144
