NURS FPX 6410 Assessment 2 Executive Summary to Administration

Name

Capella University

NURS-FPX 6410 Fundamentals of Nursing Informatics

Prof. Name

Date

Executive Summary to Administration

This executive summary is intended for hospital administrators, clinical leaders, IT professionals, and regulatory compliance officers. The goal is to present accurate and concise data on the initiative to reduce hospital readmission rates through informatics, ensuring stakeholders are well-informed and able to make strategic decisions based on the given data.

Value of Establishing Spreadsheet Adhering to HIPAA Law

A Health Insurance Portability and Accountability Act (HIPAA) compliant spreadsheet is created for this initiative to present the data gathered on readmission rates. This law reinforces the protection of patient information and the maintenance of data security for safety purposes (Edemekong et al., 2024). Our spreadsheet has HIPAA-compliant information, such as de-identified patient data, to protect patient privacy and build trust with stakeholders and patients, ensuring that data handling adheres to legal and ethical standards.

Nursing Informatics Model and the Change Initiative

The Data-Information-Knowledge-Wisdom (DIKW) model is applied to achieve the strategic outcome of reducing hospital readmissions. Data on readmission status, follow-up appointments, medication adherence, and readmission risk is collected. This data is then processed into information that highlights trends and patterns, deriving knowledge about patients’ risk for readmissions. Finally, actionable insights (wisdom) are applied to implement evidence-based interventions that reduce readmission rates. This theoretical framework supports clinical initiatives by providing a structured approach to data utilization, ensuring that the initiative is data-driven and effective in improving patient outcomes (Cato et al., 2020).

Standards of Practice in Nursing Informatics

In this initiative to reduce readmission rates, nursing informatics standards of practice aligned with the American Nurses Association (ANA) regulations were utilized: data accuracy using standard tools, secure data storage, and data accessibility for clinical decision-making (ANA, 2021). Through the integration of Electronic Health Records (EHRs) and Clinical Decision Support Systems (CDSS), these standards were adhered to, developing data-based insights to improve patient outcomes, enhance the quality of nursing practices, and improve discharge planning to reduce hospital readmission rates.

Data Trending and Healthcare Outcome

The trends on completed follow-up appointments (36) reveal whether patients are adhering to home care instructions and are attending their physician visits, which is a critical factor in preventing readmissions (Browder & Rosamond, 2023). Similarly, the rate of medication adherence (35%) signifies the importance of medication management and education for patients to comply with drug regimens, which is essential to prevent discharge complications and readmission rates (Glans et al., 2021). This knowledge permits institutions to recognize improvement aspects and develop data-based decisions to enhance patient outcomes and reduce readmission rates. Yet, ongoing evaluation is crucial to understand the impact of interventions on patient outcomes and to adjust strategies, ensuring safe practices.

Regulatory Bodies for Safe Practice

In this informatics initiative, regulatory bodies of the Centers for Medicare & Medicaid Services (CMS) play a crucial role in ensuring safe practice. CMS mandates meaningful use of EHRs to improve patient care quality, safety, and efficiency (Alammari et al., 2021). Compliance with CMS regulations drives the adoption of health information technology in nursing practice. These regulations were effectively used in making this spreadsheet through accurate data capture and reporting, ensuring patient-centered and evidence-based practices to reduce readmissions, enhance safety, and maintain regulatory compliance.

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

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

NURS FPX 6410 Assessment 2 Executive Summary to Administration

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