NURS FPX 6426 Assessment 4
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Evaluation of an Information System Change
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Capella University
NURS-FPX 6426
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Evaluation Report
The telemonitoring-enriched electronic health record (EHR) system that is applied at the Mercy Medical Center needs to be evaluated thoroughly to determine the effects that the system has on patient outcomes, organizational efficiency, and system functionality after the 18-month implementation period. The report on the evaluation examines the performance of the system in three important framework elements, such as quality of information generated by the system, the results of quality care delivery, and structural quality of the integrated technology platform (Berjawi et al., 2021).
The evaluation uses evidence-based measures, such as a decrease in hospital length of stay, a decrease in costs per patient admission of $4,760, and satisfaction data gathered among the users of the tool (clinical staff, administrative staff, and patient populations). The regular review of the structures would guarantee long-term optimization of the system and remain regulatory compliant and sustainable to the strategic goals of the Mercy Medical Center in providing better care to patients using innovative solutions in nursing informatics.
Quality of Information Framework
The quality of the information framework measures information integrity of the telemonitoring system, with the ultimate measure of completeness and correctness of the data indicating a high level of data accuracy and a full record of the patient since its implementation. The surveys of user satisfaction demonstrate that clinics are highly accepted, with 89% nurses and 92% physicians rating the system as effective in terms of the delivery of patient care and improvement of the workflow (Chief Nursing Officer, personal communication, June 2, 2025).
Patient privacy safeguarding is still put at the forefront by effective Health Insurance Portability and Accountability Act (HIPAA) provisions such as end-to-end encryption, multi-factor authentication, and role-based access controls, which have ensured zero data breach during the period of evaluation (Nookala, 2021). The scores of patient satisfaction after telemonitoring implementation improved, and patients had better communication with health care providers and confidence in the care management due to real-time monitoring options.
Outcomes of Quality Care Framework
The results of the quality care framework reveal high efficiency gains by the telemonitoring system, such as shortening of documentation time, a decrease in clinical workflow distractions, and a simplification of care coordination in interprofessional teams. The fiscal impact analysis indicates that the organization would have significant benefits by saving actual costs of 4,760 per patient admission, annual savings of 2.3 million, and the timeline (18 months) of the projected returns on investment would have been successfully achieved by using the system implementation of 1.95 million dollars (Chief nursing officer, personal communication, June 2, 2025).
Evidence-based clinical decision support tools have significantly enhanced the appropriateness of care, led to a shorter hospital length of stay, and reduced 30-day hospital readmissions (Agarwal et al., 2021). The combined telemonitoring features allow for proactive management of patients, implement early interventions, and comply with the standards of evidence-based practice that improve clinical outcomes without sacrificing patient safety and compliance with regulations.
Structural Quality Framework
The quality framework structure demonstrates strong organizational support as evidenced by executive commitment to leadership, project champions in all service lines, and a comprehensive staff training program that resulted in 100 percent completion rates in 12 months of go-live implementation. The Hardware effectiveness shows outstanding performance as telemonitoring devices have 99.7 uptime, network infrastructure to facilitate data transmission without any issues, and mobile availability to monitor patients in real-time in all clinical environments (Kusi et al., 2021).
Software effectiveness demonstrates effective integration of EHR with the use of automated alerts with a success rate of 96% accuracy rates, clinical decision support tools that offer evidence-based recommendations, and interoperability that allows the exchange of data between EHR and other healthcare providers (Chief nursing officer, personal communication, June 2, 2025). The overall system functionality is excellent, with integrated hardware-software, more than 90% of users adopting the system in six months, and a full-fledged technical support infrastructure that ensures the system will operate and stay operational without any loss of patient safety and regulatory compliance standards (Wang, 2021).
Framework Components for Assessing Change Project Impact
The three components of the evaluation framework offer an all-encompassing approach to determining the multifaceted effects of information system change initiatives by evaluating the technical performance, clinical outcomes, and organizational effectiveness at the same time. The integrity of the information frame allows quantifying the data integrity and acceptance by the users, which are key determinants of the success of system adoption and sustainable implementation (Miller et al., 2024).
The results of the quality care framework are directly linked to the investment in technology, with quantifiable patient safety gains and financial benefits, which prove the value-based healthcare delivery and organizational responsibility (Thusini et al., 2022). The structural quality framework helps to align the technological infrastructure, organizational support, and system functionality with the strategic goals and make available to the stakeholders evidence-based insights in making future informatics investments and sustaining quality improvement initiatives.
Conclusion
The overall assessment of the telemonitoring-enhanced EHR system in the Mercy Medical Center proves the outstanding results of the whole three framework components, which justify the strategic investment and effective implementation results. Quality of information measures reflect high data integrity and user satisfaction, quality care outcomes reflect large improvements in efficiency and cost savings that are larger than projected, and structural quality measures assure the presence of strong organizational support and technical excellence.
The system has been able to attain core goals, such as a decrease in hospital length of stay, savings per patient, and an 18-month payback period, while ensuring outstanding patient safety and regulatory compliance outcomes. The transformative implementation of nursing informatics will be monitored and continuously improved to ensure that the system will be optimized in the long term and the organization will benefit as a whole.
For the 5th assessment of this class visit: NURS FPX 6426 Assessment 5
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NURS FPX6426 Assessment 4
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References for
NURS FPX 6426 Assessment 4
Below are the references for NURS FPX 6426 Assessment 4:
Agarwal, S., Glenton, C., Tamrat, T., Henschke, N., Maayan, N., Fønhus, M. S., Mehl, G. L., & Lewin, S. (2021). Decision-support tools via mobile devices to improve the quality of care in primary healthcare settings. Cochrane Database of Systematic Reviews, 2021(7). https://doi.org/10.1002/14651858.cd012944.pub2
Berjawi, A. E. H., Walker, S. L., Patsios, C., & Hosseini, S. H. R. (2021). An evaluation framework for future integrated energy systems: A whole energy systems approach. Renewable and Sustainable Energy Reviews, 145, 111163. https://doi.org/10.1016/j.rser.2021.111163
Kusi, M., Zhao, F., & Sukamani, D. (2021). Impact of perceived organizational support and green transformational leadership on sustainable organizational performance: A SEM approach. Business Process Management Journal, 27(5), 1373–1390. https://doi.org/10.1108/bpmj-09-2020-0419
Miller, R., Whelan, H., Chrubasik, M., Whittaker, D., Duncan, P., & Gregório, J. (2024). A framework for current and new data quality dimensions: An overview. Data, 9(12), 151–151. https://doi.org/10.3390/data9120151
Nookala, G. (2021). End-to-end encryption in data lakes: Ensuring security and compliance. Journal of Computing and Information Technology, 1(1). https://universe-publisher.com/index.php/jcit/article/view/17
Thusini, S., Milenova, M., Nahabedian, N., Grey, B., Soukup, T., Chua, K.-C., & Henderson, C. (2022). The development of the concept of return-on-investment from large-scale quality improvement programmes in healthcare: An integrative systematic literature review. BioMed Central Health Services Research, 22(1). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728007/
Capella Best Professor to choose for
NURS FPX6426
- Dr. Cassandra Wilson
- Dr. Regina Varin-Mignano