NURS FPX 6410 Assessment 3 Exploration of Regulations and Implications for Practice
NURS FPX 6410 Assessment 3 Exploration of Regulations and Implications for Practice
Name
Capella university
NURS-FPX 6410 Fundamentals of Nursing Informatics
Prof. Name
Date
Executive Summary for Administration
This executive summary targets hospital administrators, clinical leaders, IT professionals, and regulatory compliance officers. The aim is to provide precise and comprehensive information regarding an initiative to reduce hospital readmission rates through the application of informatics. By presenting data systematically, this summary equips stakeholders with the knowledge required to make informed strategic decisions.
Value of a HIPAA-Compliant Spreadsheet
The creation of a Health Insurance Portability and Accountability Act (HIPAA)-compliant spreadsheet is fundamental to this initiative. This ensures the protection and security of sensitive patient data. The spreadsheet is designed to handle de-identified data, thus upholding patient confidentiality while fostering trust among stakeholders and patients. By adhering to HIPAA regulations, the initiative ensures data management meets legal and ethical standards, contributing to safe and transparent operations (Edemekong et al., 2024).
Nursing Informatics Model and Change Initiative
The Data-Information-Knowledge-Wisdom (DIKW) model underpins this initiative to reduce hospital readmission rates. It transitions raw data into actionable insights. Data such as readmission status, follow-up appointments, and medication adherence is collected and analyzed to identify trends and inform interventions. These insights enable the implementation of evidence-based strategies to minimize readmissions, ensuring the initiative is data-driven and outcomes-focused (Cato et al., 2020).
Rephrased in a Table Format
| Heading | Details | References |
|---|---|---|
| Executive Summary for Administration | Aimed at administrators and leaders, this summary presents data on reducing hospital readmission rates. | Cato et al., 2020 |
| Value of HIPAA-Compliant Spreadsheet | Ensures secure, de-identified data management to maintain patient privacy and legal compliance. | Edemekong et al., 2024 |
| Nursing Informatics and Change Initiative | Utilizes the DIKW model to analyze readmission-related data and derive evidence-based interventions. | Cato et al., 2020; ANA, 2021 |
References
Alammari, D., Banta, J. E., Shah, H., Reibling, E., & Ramadan, M. (2021). Meaningful use of electronic health records and ambulatory healthcare quality measures. Cureus, 13(1). https://doi.org/10.7759/cureus.13036
ANA. (2021). Nursing informatics: Scope and standards of practice. nursingworld.org. https://www.nursingworld.org/~49c602/globalassets/catalog/book-toc/nursing-informatics-3e-sample-chapter.pdf
Browder, S. E., & Rosamond, W. D. (2023). Preventing heart failure readmission in patients with low socioeconomic position. Current Cardiology Reports, 25(11). https://doi.org/10.1007/s11886-023-01960-0
NURS FPX 6410 Assessment 3 Exploration of Regulations and Implications for Practice
Cato, K. D., McGrow, K., & Rossetti, S. C. (2020). Transforming clinical data into wisdom. Nursing Management, 51(11), 24–30. https://doi.org/10.1097/01.numa.0000719396.83518.d6
Edemekong, P. F., Haydel, M. J., & Annamaraju, P. (2024). Health Insurance Portability and Accountability Act (HIPAA). Nih.gov; StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK500019/
Glans, M., Kragh Ekstam, A., Jakobsson, U., Bondesson, Å., & Midlöv, P. (2021). Medication-related hospital readmissions within 30 days of discharge—A retrospective study of risk factors in older adults. PLOS ONE, 16(6), e0253024. https://doi.org/10.1371/journal.pone.0253024