NURS FPX 6412 Assessment 3 Manuscript for Publication

Name

Capella university

NURS-FPX 6412 Analysis of Clinical Information Systems and Application to Nursing Practice

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Date

Evaluation Report

Our healthcare facility has recently integrated an Electronic Health Records (EHR) system to enhance the management of patient data. EHR systems offer numerous advantages, such as enhancing care quality, cutting operational costs, supporting patient mobility, ensuring reliable information handling, and granting healthcare providers simultaneous access to patient records (Uslu & Stausberg, 2021). This report evaluates the impact and effectiveness of the EHR implementation, focusing on three primary frameworks: Information Quality, Quality Care Outcomes, and Structural Quality. Each framework examines different aspects of the system’s performance and its contribution to organizational and patient care improvements.

Quality of Information Framework

Evaluating the quality of data within healthcare systems is essential for determining the overall efficiency and reliability of health information technologies. One widely recognized assessment model is the Information Quality (IQ) Framework, which emphasizes four key areas: data completeness, data accuracy, satisfaction of users and patients, and privacy of patient information (Fadahunsi et al., 2021). Data completeness and accuracy are critical in ensuring that patient records are reliable and suitable for developing effective, patient-focused treatment strategies. High-quality data allows healthcare professionals to make sound clinical decisions, thereby improving patient outcomes while minimizing errors (Adane et al., 2019).

User satisfaction focuses on how healthcare providers perceive and interact with the EHR system, considering aspects like usability, system responsiveness, and the extent to which it meets their operational needs. High levels of user satisfaction often translate into greater efficiency, improved patient care delivery, and reduced healthcare costs (Sreejith & Sinimole, 2024). Meanwhile, patient satisfaction reflects the confidence and contentment of individuals regarding the care services they receive through the EHR platform. It is a vital indicator of healthcare service quality and influences organizational reputation and patient loyalty (Manzoor et al., 2019).

A pivotal component of the EHR system is the safeguarding of patient privacy, which involves strict adherence to confidentiality standards such as those outlined in the Health Insurance Portability and Accountability Act (HIPAA). Protective measures include data encryption, secure access controls, and routine cybersecurity evaluations to prevent unauthorized breaches (Azeez & Vyver, 2019). These privacy protocols not only maintain legal compliance but also reinforce patient trust and foster confidence in healthcare providers (Basil et al., 2022).

Table 1: Components of Information Quality Framework

Component	Description
Data Completeness & Accuracy	Ensures precise, reliable, and comprehensive patient records for informed decision-making
User Satisfaction	Evaluates the ease of use, system reliability, and alignment with healthcare staff needs
Patient Satisfaction	Measures trust and happiness regarding care received through the EHR system
Privacy & Confidentiality	Safeguards patient information through security protocols and regulatory compliance

Quality Care Framework

Assessing care quality outcomes is vital for examining how EHR systems contribute to organizational performance and patient safety. This framework highlights elements such as operational efficiency and the appropriateness of care delivery (Hannawa et al., 2022). Efficiency refers to the system’s ability to streamline administrative and clinical workflows, minimize workload for healthcare staff, and reduce errors in patient management. Through improved operational processes, EHRs enable quicker access to patient information and support administrative functions like billing and reporting, which enhances organizational productivity (Karp et al., 2019).

The appropriateness of care focuses on the EHR system’s capability to facilitate timely, evidence-based medical interventions. Quick and organized access to up-to-date patient records allows medical personnel to make informed clinical decisions, reducing the chances of misdiagnoses or delayed treatments (Li et al., 2022). Moreover, real-time information availability promotes coordinated care, supports accurate prescribing, and contributes to improved health outcomes such as lower mortality rates and reduced treatment complications (Rudin et al., 2020).

Evaluating these factors offers valuable insights into how EHR implementation has transformed healthcare delivery compared to previous manual or paper-based record-keeping practices. Such analysis helps in identifying gaps and promoting ongoing system improvements, ensuring continuous alignment with patient care standards and safety goals (Uslu & Stausberg, 2021).

Structural Quality Framework

The Structural Quality Framework assesses the EHR system’s underlying infrastructure, organizational support, and technical capabilities. This evaluation covers critical elements including organizational commitment, hardware and software performance, and system functionality (Holmgren et al., 2022). Organizational support involves leadership involvement, resource allocation, policy development, and creating a culture supportive of technology adoption among healthcare staff and stakeholders (Kiepek & Sengstack, 2019).

In terms of hardware and software performance, the evaluation centers on system reliability and operational stability. Hardware systems should offer uninterrupted service with minimal troubleshooting needs, while software components must efficiently capture, process, and analyze patient data (Aguirre et al., 2019). Any disruption in system performance can directly affect patient care quality and operational productivity.

The functionality of the EHR system pertains to how well the system meets the diverse requirements of healthcare providers, administrative staff, and patients. Critical features include interoperability, which allows seamless data exchange within the healthcare setting, thus improving communication and clinical decision-making processes (Miandoab et al., 2023). Ensuring that the system offers real-time compatibility and reliable data-sharing mechanisms minimizes communication gaps, resulting in faster, safer, and better-coordinated patient care.

Table 2: Components of Structural Quality Framework

Component	Description
Organizational Support	Leadership involvement, resource distribution, and policy development for EHR integration
Hardware & Software Performance	Stability, reliability, and efficiency in handling patient data and system operations
System Functionality	Ability to meet user requirements, ensure interoperability, and support clinical decisions

Conclusion

To summarize, the integration of an Electronic Health Records (EHR) system has significantly enhanced operational workflows, minimized medical errors, and improved patient safety and care quality. The use of structured evaluation frameworks, including Information Quality, Quality Care Outcomes, and Structural Quality, provides a comprehensive assessment of the system’s performance. These frameworks enable healthcare leaders and stakeholders to measure the system’s impact on both organizational operations and patient care delivery, while also identifying areas for improvement. Continued evaluation and refinement based on these frameworks will ensure the consistent delivery of high-quality, secure, and patient-centered healthcare services.

References

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. Cureus, 11(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 Journal, 20(2), 97–108. https://doi.org/10.1016/j.eij.2018.12.001

NURS FPX 6412 Assessment 3 Manuscript for Publication

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

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 Research, 23(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 Counseling, 105(6), 1561–1570. https://doi.org/10.1016/j.pec.2021.10.016

Holmgren, A. J., Apathy, N. C., Adler-Milstein, J., & Wager, K. A. (2022). The state of interoperability progress and gaps in health information exchange in the US. Health Affairs, 41(5), 700–708. https://doi.org/10.1377/hlthaff.2021.01296

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, Nursing, 37(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 Informatics, 10(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 Research, 24(9), e38144. https://doi.org/10.2196/38144

NURS FPX 6412 Assessment 3 Manuscript for Publication

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 Health, 16(18), 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. BMC Medical Informatics and Decision Making, 23(1), 18. https://doi.org/10.1186/s12911-023-02135-1