NURS FPX 6426 Assessment 4 Evaluation of an Information System Change
Student name
Capella University
NURS-FPX6426 Nursing Informatics Life Cycle Management
Professor Name
Submission Date
Evaluation Report
The telemonitoring-improved electronic health record system (EHR) introduced at Mercy Medical Center needs to be evaluated comprehensively to determine the effect on the patient outcomes, the efficiency of the organization, and system functionality after the 18-month implementation. The analysis of the system performance in the evaluation report involves three framework components, which are quality of information produced by the system, results of quality care provision, and quality of structural platform of the integrated technology (Berjawi et al., 2021). The metrics employed in the assessment are evidence-based and are expressed in the following parameters; the reduction of hospital length of stay to 4,760 less than the current cost per patient admission and the user satisfaction data that is derived through the clinical staff, administrative staff, and patient populations. The systematic appraisal of the frameworks will guarantee sustainable system optimization without regulatory violations and help Mercy Medical Center achieve its strategic goals of providing better care to patients with the help of the innovative solutions in nurse informatics.
Quality of Information Framework
The quality of information framework measures the integrity of the telemonitoring system on the basis of holistic assessment of the completeness and correctness measures, showing increased data accuracy rates and full documentation of the patient records since the implementation. According to user satisfaction surveys, there is a high level of acceptance among the clinical staff: 89 percent of nurses and 92 percent of physicians rated the system as effective to deliver patient care and improve workflow (Chief Nursing Officer, personal communication, June 2, 2025). Protection of patient privacy has been regarded as the most important with strong measures of health insurance portability and accountability act (HIPAA) such as end-to-end encryption, multi-factor authentication, and role-based access control that have ensured zero data breaches during the evaluation period (Nookala, 2021). The implementation of telemonitoring enhanced the patient satisfaction scores, and patients mentioned that they have a better communication with the healthcare provider and that they have more confidence in the care management due to the ability of real-time monitoring.
Outcomes of Quality Care Framework
The results of the quality care model indicate the high efficiency of the telemonitoring system, such as the decrease of documentation time, the decrease of interruptions of the clinical workflow, and smoother organization of care within the interprofessional team. A fiscal impact analysis shows significant organizational gains with an actual cost saving of 4,760 per patient admission, 2.3 million annual savings and effective implementation of the projected 18-month return on investment timeline of the 1.95 million implementation of the system (Chief nursing officer, personal communication, June 2, 2025). Evidence based clinical decision support tools have significantly enhanced appropriateness of care which has led to shortened length of stay in hospitals and decreased 30-day hospital readmissions (Agarwal et al., 2021). The combined telemonitoring features are allowing proactive patient care, early intervention strategies, and compliance with the evidence-based practice standards that can result in improved clinical outcomes and provide patient safety and compliance with the regulations.
Structural Quality Framework
The framework of structural quality discloses strong support at organizational level by its executive leadership commitment, project champions in all service lines and full-fledged staff training program with 100 percent completion rates in the 12 months of go-live implementation. The hardware performance is outstanding as telemonitoring devices have 99.7 per cent uptime, network infrastructure facilitates the flow of data without hitches, and mobile accessibility facilitates real-time patient monitoring in all clinical units (Kusi et al., 2021). Effectiveness of the software demonstrates effective EHR integration with automated alert systems with accuracy rates of 96 and clinical decision support tools that offer evidence-based recommendations and interoperability functionality that allows data sharing with other healthcare providers (Chief nursing officer, personal communication, June 2, 2025). An excellent overall system functionality is ensured by the coordinated integration of hardware and software, the adoption rate of over 90% in the first six months of the system, and the overall system technical support infrastructure, which offers a minimum of 24/7 operation and patient and regulatory safety and compliance standards (Wang, 2021).
Framework Components for Assessing Change Project Impact
The three components of evaluation framework is an overarching approach to determining the effects of information system change projects that are multifaceted because the effect of the change project is considered through the clinical outcomes, organizational effectiveness, and technical performance at the same time. The data integrity and user acceptance may be measured in the quality of information framework, which is also important indicators of the success of the system adoption and the long-term implementation (Miller et al., 2024). The results of the quality care model directly coincide technology investment and attainable measurable patient safety outcomes with financial gains that indicate value-based healthcare provision and organizational responsibility (Thusini et al., 2022). The quality framework of structure guarantees that the infrastructure on technology, organizational support and functionality of the systems are in tandem with the strategic goals, and these give stakeholders evidence-based information on future investment on informatics and ongoing improvement strategies.
Conclusion
The overall analysis of the telemonitoring-enhanced EHR system of the Mercy Medical Center shows outstanding performance in all three parts of the framework, confirming the positive investment and implementation results. Measurements of quality of information reveal high data integrity and user satisfaction, the results of quality care indicate considerable improvements on efficiency and cost savings that are higher than projected, and structural quality indicators indicate strong organizational support and technical excellence. The system has already met major targets, such as decreased length of stay in the hospital, cost-saving per patient, and 18-month recovery on investment schedule along with the perfect patient safety and regulatory standards. Constant enhancement programs and regular monitoring will maintain the optimization of the system and long-term organizational gains of the transformative nursing informatics application.
Evaluation of an Information System Change Audio Notes
Student name
Capella University
NURS-FPX6426 Nursing Informatics Life Cycle Management
Professor Name
Submission Date
Overview Discussion with Stakeholders
Morning, my name is Wilson, and this presentation will reveal the overall evaluation outcomes of the telemonitoring-enhanced electronic health record (EHR) system implementation at Mercy Medical Center. The system has shown very high performance on all the three evaluation frameworks having 99.7% uptime, 92% user adoption rates and exceeded projected clinical outcomes with length of stay in the hospital.
The quality of the information structure indicates increased data accuracy and satisfaction of the patient, and quality care outcomes indicate a cost saving of 4,760 per patient and a successful 17-month payback period. Structural quality indicators validate high-grade organizational support where the staff training is complete and there is a harmonious integration of hardware and software in all the clinical departments.
Ongoing Monitoring Strategy and Implementation Timeline
Systematic monitoring is done through the weekly system performance monitoring, monthly clinical outcome review and quarterly stakeholder satisfaction performance, which will be included in the evaluation plan in the implementation of the evaluation so that the system is optimized and improved continuously. The monitoring strategy consists of automated gathering of efficiency indicators, clinical champions to get user response and use of quality improvement teams to gauge outcomes offering a comprehensive oversight framework that is both detailed and sensible as far as resource utilization is concerned.
Specific data points give points that are monitored as they correlate with patient safety improvements, organization financial stability and sustainable system in the long-term that are beneficial to the strategic objectives of Mercy Medical Center. Regulatory standards and enhanced system performance are maintained by placing the so-called weekly technical reports, monthly clinical analysis, quarterly stakeholder review, and semi-annual compliance audit in the timeline.
Key Takeaways and Fiscal Impact Summary
The two strongest implications to stakeholders are the unprecedented 17-month return on investment success, which is more than the 18-month forecast, and the long-term cost savings of 2.4 million that signify the continued value of the organization investment of nursing informatics. Fiscal impact analysis shows that the implementation investment amounting to 1.95 million has produced quantifiable benefits in the form of lower hospitalization cost, better operational effectiveness, and the improvement of patient safety outcomes, which ensures the sustainability of finances in the long-run.
The evidence-based assessment shows that further monitoring and optimization activities will guarantee the benefits to be sustained and place Mercy Medical Center as one of the leaders in the field of innovative healthcare technology implementation. The findings are very convincing concerning possible future informatics investment and create the validated model of successful implementation and evaluation of technology throughout the organization.
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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 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/
Wang, R. (2021). Organizational commitment in the nonprofit sector and the underlying impact of stakeholders and organizational support. International Journal of Voluntary and Nonprofit Organizations, 33(3), 538–549. https://doi.org/10.1007/s11266-021-00336-8
Appendix for
NURS FPX 6426 Assessment 4
Appendix A
Table 1
Evaluation Plan for Telemonitoring-Enhanced EHR System Change Project
Implementation Goals | Framework Component(s) | Measurements | Frequency of Measurement | Rationale for Chosen Measures | Projected Fiscal Impact | Actual Fiscal Impact |
Goal 1: System Integration & Technical Implementation | Structural Quality Framework | 1. System uptime percentage 2. EHR integration success rate | Weekly for uptime; Monthly for integration metrics | System reliability and integration success are fundamental indicators of technical implementation effectiveness and user adoption sustainability | Initial investment: $1,500,000 Annual maintenance: $200,000 | Initial investment: $1,500,000 Annual maintenance: $195,000 |
Goal 2: Reduce Hospital Length of Stay | Outcomes of Quality Care Framework | 1. Average length of stay (days) 2. Hospital readmission rates within 30 days | Monthly length of stay analysis; Quarterly readmission tracking | The measures directly correlate with patient safety improvements and cost reduction objectives, providing evidence of clinical effectiveness | Cost savings: $4,760 per patient Annual savings: $2.3 million | Cost savings: $4,760 per patient Annual savings: $2.4 million |
Goal 3: Improve Patient Safety and Care Quality | Quality of Information Framework & Outcomes of Quality Care Framework | 1. Clinical alert response time 2. Medication error reduction percentage | Daily alert monitoring; Monthly error rate analysis | Rapid response to clinical alerts and reduced medication errors demonstrate improved patient safety outcomes and quality care delivery effectiveness | Risk mitigation savings: $500,000 annually Liability reduction: $300,000 | Risk mitigation savings: $525,000 annually Liability reduction: $320,000 |
Goal 4: Enhance User Adoption and Satisfaction | Quality of Information Framework & Structural Quality Framework | 1. User adoption rates by department 2. Staff satisfaction scores | Monthly adoption tracking; Quarterly satisfaction surveys | High adoption rates and user satisfaction ensure sustainable system utilization and organizational acceptance of technology change | Training investment: $450,000 Productivity gains: $800,000 annually | Training investment: $440,000 Productivity gains: $850,000 annually |
Goal 5: Achieve Cost Reduction and ROI | Outcomes of Quality Care Framework | 1. Cost per patient admission 2. Return on investment percentage | Monthly cost analysis; Quarterly ROI assessment | Financial metrics demonstrate organizational value and justify continued investment in nursing informatics initiatives | ROI target: 18-month payback Total savings: $3.5 million over 3 years | ROI achieved: 17-month payback Total savings: $3.8 million over 3 years |
Goal 6: Maintain Regulatory Compliance | Quality of Information Framework & Structural Quality Framework | 1. HIPAA compliance audit scores 2. Data security incident reports | Semi-annual compliance audits; Monthly security monitoring | Regulatory compliance ensures patient privacy protection and organizational reputation while avoiding costly violations and penalties | Compliance costs: $150,000 annually Avoided penalties: $1.2 million | Compliance costs: $145,000 annually Avoided penalties: $1.2 million |
Note.The evaluation plan provides comprehensive monitoring of the telemonitoring-enhanced EHR system implementation across multiple framework components. Measurement frequencies are designed to balance thorough oversight with practical resource allocation. The plan aligns with Mercy Medical Center’s organizational context and strategic objectives for sustainable technology adoption and improved patient care outcomes. Projected versus actual fiscal impacts demonstrate successful achievement of financial goals while exceeding expected returns on investment.
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NURS-FPX6426
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FAQ’s For
NURS FPX 6426 Assessment 4
Question 1: What is NURS FPX 6426 Assessment 4 Evaluation of an Information System Change?
Answer 1: Evaluation of information system change impact on outcomes, efficiency, functionality.
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