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NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

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Capella University

NURS-FPX 6416 Managing the Nursing Informatics Life Cycle

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Evaluation Report

 Our healthcare organization has installed an Electronic Health Records (EHR) system to efficiently manage patients’ medical records. EHRs improve care quality, lower expenses, enable patient mobility, boost information credibility, and allow multiple healthcare professionals to access patients’ medical information (Uslu & Stausberg, 2021). This report assesses the efficacy of the modification in the medical data system and examines the results attained in the health organization. The report covers three assessment frameworks: information quality, quality care outcomes, and structural quality.

Quality of Information Framework

It is crucial to evaluate the quality of data stored while evaluating the effectiveness of health information systems. One significant evaluation framework is The Information Quality (IQ) framework. It corresponds to four components including completeness and precision of information, user and patient satisfaction with the EHR information system, and patient confidentiality (Fadahunsi et al., 2021). Data correctness and completeness are crucial in providing data integrity in an EHR system. These factors are critical for developing appropriate patient-centered care strategies.

Precise data from the EHR supports practitioners’ prescription input and evaluates medical credibility, improving the patient treatment standard. Data completeness and precision also ensure that the health information system is secure for patients by reducing the probability of medical errors and improving patient safety and trust (Adane et al., 2019). End user and patient satisfaction with any modifications to the medical information system is critical. User satisfaction relates to experience while using the EHR system. It includes the system’s user-friendliness, ease of use, availability, and capacity to satisfy users’ expectations. User satisfaction improves medical care effectiveness,  standards, and safety and lowers medical expenses for users (Sreejith & Sinimole, 2024).

Patient satisfaction with health organizations is related to trust and commitment to the medical facilities they receive through the EHR system. Patient satisfaction evaluates the happiness and trust of a patient with the medical care they acquire from a medical organization. It is a crucial criteria in assessing a medical service’s success (Manzoor et al., 2019). Assessing user and patient trust and satisfaction is critical because it illustrates the accomplishment of objectives related to EHR implementation, making the system more resource-efficient and convenient to operate and elevating access to information, patient safety, and patient outcomes (Wali et al., 2020)

Ensuring patient information privacy is a critical attribute of the EHR system (Basil et al., 2022). Safeguarding confidential information and upholding anonymity are crucial aspects of medical settings to obey the Health Insurance Portability and Accountability Act (HIPAA) rules. It is accomplished by security measures for data privacy, including limited unauthorized access through verification and authentication, data encryption software, and consistent cyber-security checks (Azeez & Vyver, 2019). Safeguarding patient privacy allows for evaluating the project’s influence on patients’ confidence and satisfaction in the organization and medical personnel, ensuring that the organization follows confidentiality requirements (Basil et al., 2022). 

Quality Care Framework 

The quality care outcome evaluation framework is vital for determining the efficacy of a health information system inside an organization. The elements of the quality care framework include work efficiency and appropriateness of care while employing the system (Hannawa et al., 2022). The system’s efficiency is characterized by its capacity to influence the effectiveness of medical procedures and operations.

The system’s efficiency evaluates the system’s capacity to accelerate workflow, reduce staff workload and medical errors, and manage the distribution of resources (Karp et al., 2019). Analyzing the productivity of the EHR system offers sufficient information to analyze the influence of change on successfully and quickly managing administrative tasks and prioritizing patient care. It aids in evaluating the progress of the EHR system compared to previous traditional record systems (Uslu & Stausberg, 2021). 

Appropriateness of care analyzes the role of the EHR system in providing time and efficient treatment to patients (Li et al., 2022). It involves assessing the EHR system’s capacity to provide immediate accessibility to the patient’s medical record, treatment intervention, and medical recommendations for care, which can assist medical personnel in making appropriate medical choices. Real-time availability of patient information enables clinicians to make well-informed decisions and provide efficient care (Rudin et al., 2020).

Patient outcomes, medical care and therapy alignment with error reduction, and safety improvement can all be used to evaluate the EHR outcomes. An efficient EHR system leads to effective treatment, resulting in better patient outcomes, such as low mortality rate and reduced complications. Additionally, EHR significantly improves our health organization’s productivity and processes. The valuation framework contributes to analyzing the effect of the transformation project and promoting enhancements (Rudin et al., 2020)

Structural Quality Framework 

The structural quality framework is applied to evaluate the efficacy of the EHR system in healthcare organizations. The structural quality framework addresses different aspects, including organizational assistance, software and hardware efficiency, and EHR system functionality (Holmgren et al., 2022). Organizational support implies the health organization’s strategy for effectively implementing the EHR system. This entails assessing leadership and stakeholders’ commitment to the EHR system, distributing resources, establishing guidelines, and fostering an environment favorable to system adoption and integration among stakeholders and end users (Kiepek & Sengstack, 2019).

Software and hardware efficacy relates to the information system’s reliability, efficiency, and performance. In the hardware component of the EHR system, the critical indicator for assessing quality is its capacity to work without interruption. The ability to meet demands without necessitating troubleshooting is crucial in EHR evaluation. Moreover, the software’s quality depends on its database and effectiveness in collecting and analyzing data (Aguirre et al., 2019)

Furthermore, the functionality of the information system is critical and needs to be assessed after successfully executing the system, Evaluation of the EHR system’s functionality identifies its capacity to fulfill the varied requirements of the health organization, medical personnel, and patients. Compatibility, communication, and data exchange are also part of system functionality. The interchangeability feature of the EHR system aids in the exchange of information within the health organization. The communication and interaction gaps are reduced,  clinical choices are improved, and patient treatment is promoted in time (Miandoab et al., 2023). 

Conclusion

In conclusion, the EHR is implemented to improve the workflow and minimize medical errors, resulting in improved patient safety and standard of care. Evaluation frameworks play a significant role in evaluating the success and effectiveness of the EHR system. These frameworks enable stakeholders to evaluate the EHR’s impact on patients and healthcare organizations and develop suggestions for enhancing the system’s features. This evaluation will assist the health organization in enhancing and ensuring standard medical services. 

Reference

Adane, K., Gizachew, M., & Kendie, S. (2019). The role of medical data in efficient patient care delivery: A review. Risk Management and Healthcare Policy, 67-73. https://doi.org/10.2147%2FRMHP.S179259

Aguirre, R. R., Suarez, O., Fuentes, M., & Sanchez-Gonzalez, M. A. (2019). Electronic health record implementation: A review of resources and tools. Cureus11(9). https://doi.org/10.7759/cureus.5649

Azeez, N. A., & Vyver, V. D. C. (2019). Security and privacy issues in e-health cloud-based system: A comprehensive content analysis. Egyptian Informatics Journal20(2), 97-108. https://doi.org/10.1016/j.eij.2018.12.001

Basil, N. N., Ambe, S., Chukwuyem Ekhator, & Ekokobe Fonkem. (2022). Health records database and inherent security concerns: A review of the literature. Cureushttps://doi.org/10.7759/cureus.30168

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Fadahunsi, K. P., O’Connor, S., Akinlua, J. T., Wark, P. A., Gallagher, J., Carroll, C., & O’Donoghue, J. (2021). Information quality frameworks for digital health technologies: Systematic review. Journal of Medical Internet Research23(5), e23479. https://doi.org/10.2196/23479

Hannawa, A. F., Wu, A. W., Kolyada, A., Potemkina, A., & Donaldson, L. (2022). The aspects of healthcare quality that are important to health professionals and patients: A qualitative study. Patient Education and Counseling105(6), 1561–1570. https://doi.org/10.1016/j.pec.2021.10.016

Karp, E. L., Freeman, R., Simpson, K. N., & Simpson, A. N. (2019). Changes in efficiency and quality of nursing electronic health record documentation after implementation of an admission patient history essential data set. CIN: Computers, Informatics, Nursing37(5), 260. https://doi.org/10.1097/CIN.0000000000000516 

Kiepek, W., & Sengstack, P. (2019). An evaluation of system end-user support during implementation of an electronic health record using the model for improvement framework. Applied Clinical Informatics10(05), 964–971. https://doi.org/10.1055/s-0039-3402450

Li, E., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health record interoperability on safety and quality of care in high-income countries: Systematic review. Journal of Medical Internet Research24(9), e38144. https://doi.org/10.2196/38144

Manzoor, F., Wei, L., Hussain, A., Asif, M., & Shah, A. (2019). Patient satisfaction with health care services: An application of physician’s behavior as a moderator. International Journal of Environmental Research and Public Health16(18), 3318–3318. https://doi.org/10.3390/ijerph16183318

Miandoab, T. A., Samad-Soltani, T., Jodati, A., & Rezaei-Hachesu, P. (2023). Interoperability of heterogeneous health information systems: A systematic literature review. BioMed Central Medical Informatics and Decision Making23, 18. https://doi.org/10.1186/s12911-023-02115-5

Rudin, R. S., Friedberg, M. W., Shekelle, P., Shah, N., & Bates, D. W. (2020). Getting value from electronic health records: Research needed to improve practice. Annals of Internal Medicine172(11_Supplement), S130-S136. https://doi.org/10.7326/M19-0878

NURS FPX 6416 Assessment 3 Evaluation of an Information System Change

Sreejith, R., & Sinimole, K. R. (2024). User-centric evaluation of EHR software through NLP-driven Investigation: Implications for product development and user experience. Journal of Open Innovation: Technology, Market, and Complexity, 100206. https://doi.org/10.1016/j.joitmc.2023.100206

Uslu, A., & Stausberg, J. (2021). Value of the electronic medical record for hospital care: Update from the literature. Journal of Medical Internet Research23(12), e26323. https://doi.org/10.2196%2F26323

Wali, R. M., Alqahtani, R. M., Alharazi, S. K., Bukhari, S. A., & Quqandi, S. M. (2020). Patient satisfaction with the implementation of electronic medical Records in the Western Region, Saudi Arabia, 2018. BioMed Central Family Practice21(1), 1-6. https://doi.org/10.1186/s12875-020-1099-

Appendix 1

Evaluation Plan Table

Implementation Goals
Framework Components
Measurements
Frequency of Measurement 
Reason for Chosen Measurements 

Successfully integrate an Electronic Health Record (EHR) system to promote the efficacy and precision of health data administration and enhancing safety for patients.

Completeness and precision of data


User and patient satisfaction


Patient privacy

Software and hardware efficacy


Patient Satisfaction


Effectiveness utilizing the EHR system


appropriateness of treatment by using EHR system


Functionality of the system

Percentage of patients records which are accurate and complete.


Frequency of medical errors

Level of patient satisfaction following utilizing the EHR system





On monthly basis

The proportion of completeness and precision of patient records, and the incidence of therapeutic errors, are significant indicators of the system’s quality. By analyzing these indicators over time, health organizations can find opportunities for advancement in their EHR system.


Patient privacy and satisfaction are critical indicators of the standard of medical care. These metrics enables the health organization evaluate the effectiveness of the EHR system in addressing patients’ desires and needs. 

Train and educate personnel to efficiently operate the novel EHR system to ensure a smooth transition.

End-user satisfaction


Patient privacy


Organizational assistance


Functionality of the system

Feedback from users on the installation of the EHR system


Proportion of assets expense analysis in the health organization through implementing EHR.

On monthly basis 





After every three months

Feedback from users will offer understanding about the personnel’s satisfaction and capability to manage the EHR system. This statistic approach will assist the health organization in determining the need for additional training and continuous user assistance.

Cost-effectiveness and saving resources are a vital factor when implementing any organizational reform. By measuring organizational resources savings, stakeholders can evaluate the EHR system’s performance and make improvements as needed. Furthermore, these assets can be applied to other vital healthcare operations. 

 

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