NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Student Name

Capella University

NURS-FPX 6416 Managing the Nursing Informatics Life Cycle

Prof. Name

Date

Evaluation Report

The transition from a paper-based, manual record-keeping system to an Electronic Health Record (EHR) system was initiated to address operational inefficiencies and improve data security. Previously, retrieving patient information required roughly 20 minutes, and manual input errors led to a 5% error rate, negatively affecting timely healthcare delivery. To mitigate these issues, the EHR implementation followed a structured phased approach. Phase 1 focused on vendor selection and initial staff training, Phase 2 concentrated on system integration with existing workflows, and Phase 3 emphasized post-deployment evaluation and refinements. While initial challenges included resistance to change and occasional technical interruptions, the adoption of the EHR system has significantly improved data accuracy, enhanced patient safety, and elevated overall care quality.

Evaluation and Analysis

A phased evaluation process was employed to ensure systematic implementation and monitoring of the EHR system. The details are summarized below:

Phase	Timeframe	Key Activities	Challenges Identified	Outcomes
Phase 1	Months 1–2	Vendor selection, initial staff training	Staff resistance, gaps in training	Awareness raised, training methods adapted
Phase 2	Months 3–4	System deployment, workflow integration	Temporary workflow disruptions	Integration completed, additional training provided
Phase 3	Months 5–6	Performance evaluation, feedback-based refinements	Technical glitches, user feedback	Reduced data retrieval time, lower error rates

Throughout each phase, monitoring tools such as user satisfaction surveys and system performance metrics were utilized to evaluate implementation success and guide necessary adjustments. The evaluation demonstrates measurable improvements while highlighting the need for ongoing system support and continuous refinement (Salleh et al., 2021).

Quality of Information Framework

The EHR implementation has substantially improved the quality, integrity, and usability of patient data. Automated validation features have reduced errors from 5% to below 1%, significantly increasing record reliability. An intuitive user interface, combined with comprehensive staff training programs, has fostered greater adoption and confidence among users (Mishra et al., 2022).

Data privacy and security were prioritized, with advanced encryption protocols and strict access controls ensuring compliance with HIPAA regulations (Mishra et al., 2024). Routine audits have been institutionalized to maintain these standards. Additionally, patient satisfaction has increased due to faster service delivery and shorter waiting times. Feedback mechanisms, such as surveys, allow ongoing assessment of user experience and identify opportunities for future improvements (Salleh et al., 2021). Real-time updates in the EHR system have also enhanced the timeliness and accuracy of clinical decision-making.

Appendix 1 – Evaluation Plan Table

Goals from the Implementation Plan	Framework Component(s)	Measurements	Frequency of Measurement	Purpose of Measurements
Efficient EHR Implementation	Data accuracy, Infrastructure readiness	Retrieval time, Error rate, Outage logs, Training completion, Integration issues	Monthly	Evaluates system efficiency, reliability, and user adaptation
Optimize Accuracy and Workflow	Workflow effectiveness, Data processing	Task time, Error-free entries, Delay points, Staff feedback, System feature usage	Monthly	Ensures workflow optimization and identifies inefficiencies
Staff Training and Education	Training adequacy, User proficiency	Training completion, Proficiency scores, Support requests, Satisfaction levels, Retention rates	Monthly	Identifies knowledge gaps and monitors staff competency retention

Outcomes of Quality Care Framework

The EHR system has markedly transformed clinical workflows. Data retrieval time has decreased from 20 minutes to 2 minutes, enabling healthcare providers to make prompt, informed decisions. Integration with decision-support tools ensures that treatment strategies are both personalized and evidence-based (Alexiuk et al., 2023).

Interdepartmental coordination has improved, reducing communication delays and redundancies. Metrics such as lower readmission rates and enhanced care outcomes confirm the system’s positive impact (Subbe et al., 2021). Continued monitoring and timely issue resolution are essential to maintain these improvements and ensure that the system evolves alongside healthcare requirements.

Structural Quality Framework

The success of EHR implementation is strongly linked to robust organizational support. Leadership provided essential resources, including finances and personnel, while rigorous hardware testing ensured the system could handle high data volumes. Software evaluations confirmed functionality, intuitiveness, and compatibility with existing systems (Shaikh et al., 2022).

Staff feedback mechanisms enabled continuous usability enhancements through software updates and refinements. Upgrades to IT infrastructure, such as increased network bandwidth and strengthened cybersecurity measures, have been crucial to supporting seamless EHR operations (Fennelly et al., 2020). Ongoing investment in both technology and staff training is vital to sustaining system efficiency.

Recommendations for Further Improvement

Several strategies are recommended to build on current EHR successes:

1. Recurring Training Initiatives – Continuous education will bridge competency gaps and reinforce user proficiency.
2. Dedicated IT Support Team – Establishing a specialized team can rapidly resolve technical issues, reducing downtime.
3. Enhanced Decision-Support Features – Advanced analytics will help clinicians make more evidence-based decisions (Sutton et al., 2020).
4. Structured User Feedback Loops – Engaging users ensures early detection of concerns and informs system upgrades.
5. Strategic IT Investments – Expanding infrastructure ensures the system can accommodate growth and operational demands.
6. Regular Audits – Maintaining HIPAA compliance and operational integrity requires periodic evaluation.
7. Stakeholder Involvement – Continuous engagement strengthens organizational commitment and reduces resistance to change (Talwar et al., 2023).

Conclusion

Transitioning to an EHR system has addressed key limitations of manual record-keeping by improving accuracy, reducing errors, and enhancing care efficiency. Leadership support, structured staff training, and technical upgrades were pivotal in achieving these results. Despite initial challenges, the system now offers a reliable and efficient healthcare information framework. Ongoing optimization and stakeholder engagement are essential to ensure the EHR system continues to support patient-centered care and long-term organizational goals.

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

Fennelly, O., Cunningham, C., Grogan, L., Cronin, H., Shea, C. O., Roche, M., Lawlor, F., & Hare, N. O. (2020). Successfully implementing a national electronic health record: A rapid umbrella review. International Journal of Medical Informatics, 144(104281). https://doi.org/10.1016/j.ijmedinf.2020.104281

Mishra, V., Gupta, K., Saxena, D., & Singh, A. K. (2024). A global medical data security and privacy preserving standards identification framework for electronic healthcare consumers. IEEE Transactions on Consumer Electronics, 1–1. https://doi.org/10.1109/tce.2024.3373912

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Mishra, V., Liebovitz, D., Quinn, M., Kang, L., Yackel, T., & Hoyt, R. (2022). Factors that influence clinician experience with electronic health records. Perspectives in Health Information Management, 19(1), 1f. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013220/

Salleh, M. I. M., Abdullah, R., & Zakaria, N. (2021). Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers. BioMed Central Medical Informatics and Decision Making, 21(1). https://doi.org/10.1186/s12911-021-01447-4

Shaikh, M., Vayani, A. H., Akram, S., & Qamar, N. (2022). Open-source electronic health record systems: A systematic review of most recent advances. Health Informatics Journal, 28(2). https://doi.org/10.1177/14604582221099828

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Subbe, C. P., Tellier, G., & Barach, P. (2021). Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: A scoping review. British Medical Journal Open, 11(1). https://doi.org/10.1136/bmjopen-2020-047446

Sutton, R., Pincock, D., Baumgart, D., Sadowski, D., Fedorak, R., & Kroeker, K. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. Non-profit Journalism Digital Medicine, 3(1), 1–10. https://doi.org/10.1038/s41746-020-0221-y

Talwar, S., Dhir, A., Islam, N., Kaur, P., & Almusharraf, A. (2023). Resistance of multiple stakeholders to E-health innovations: Integration of fundamental insights and guiding research paths. Journal of Business Research, 166, 114135. https://doi.org/10.1016/j.jbusres.2023.114135