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 has been developed for key stakeholders, including hospital executives, clinical managers, IT specialists, and regulatory personnel. It provides a clear and data-driven overview of an initiative aimed at reducing hospital readmission rates through the strategic use of nursing informatics. By presenting critical data in a structured and secure format, this report ensures informed decision-making among stakeholders while promoting patient-centered care. The initiative emphasizes data integrity and ethical compliance to support better outcomes and promote system-wide improvements in hospital operations.

Value of Establishing Spreadsheet Adhering to HIPAA Law

In alignment with the Health Insurance Portability and Accountability Act (HIPAA), a secure and compliant spreadsheet was designed to track hospital readmission metrics. HIPAA mandates strict privacy protocols to ensure patient data confidentiality and protection (Edemekong et al., 2024). The spreadsheet contains de-identified data, such as readmission rates and related variables, ensuring legal compliance while maintaining transparency in data sharing. This format builds trust among patients and stakeholders by promoting ethical data handling and maintaining regulatory standards.

Table 1: HIPAA-Compliant Elements in Spreadsheet

Component	Description	Compliance with HIPAA
De-identified Patient Data	Removal of names, IDs, and direct identifiers	Ensures patient confidentiality
Secure Storage Protocols	Encrypted, access-controlled digital storage	Protects data from unauthorized access
Limited Data Set Usage	Only necessary variables for analysis included	Minimizes exposure to sensitive information
Role-Based Access	Access granted based on professional necessity	Supports privacy and accountability

Nursing Informatics Model and the Change Initiative

The initiative is grounded in the Data-Information-Knowledge-Wisdom (DIKW) model, which facilitates structured decision-making and outcome improvement. Initially, raw data concerning hospital readmissions, such as follow-up adherence, medication compliance, and risk stratification, is collected. This data is then transformed into meaningful information through trend analysis and pattern recognition. From this information, clinicians derive knowledge regarding patient vulnerabilities. Ultimately, these insights are translated into actionable strategies—wisdom—that guide targeted interventions to reduce readmissions (Cato et al., 2020). The DIKW model ensures that each phase of the initiative is intentional, evidence-based, and aligned with improving patient safety and hospital performance.

Standards of Practice in Nursing Informatics

To support this informatics-driven change, the standards defined by the American Nurses Association (ANA) were integrated into practice. These standards focus on ensuring data accuracy through reliable measurement tools, maintaining secure data systems, and enhancing data accessibility to support clinical decision-making (ANA, 2021). Utilizing Electronic Health Records (EHRs) and Clinical Decision Support Systems (CDSS), the initiative enabled more efficient discharge planning and better follow-up coordination. This not only improved the quality of nursing interventions but also contributed to a reduction in preventable readmissions by ensuring continuity and clarity in post-discharge care.

Data Trending and Healthcare Outcome

The collected data reveal significant insights that can shape clinical and operational decisions. Among 36 patients, follow-up appointment compliance indicated how effectively patients were transitioning to outpatient care—a crucial determinant in reducing readmissions (Browder & Rosamond, 2023). However, medication adherence rates were reported at just 35%, signaling a need for improved patient education and engagement strategies to enhance pharmaceutical compliance and mitigate post-discharge complications (Glans et al., 2021). These data points drive the refinement of care plans and the development of patient-centric interventions.

Table 2: Key Healthcare Trends and Outcomes

Metric	Observation	Implication for Readmission Reduction
Follow-up Appointments	36 patients attended	Supports care continuity and identifies early complications
Medication Adherence	35% compliance rate	Indicates need for improved patient education
Discharge Plan Effectiveness	Varies across patient groups	Highlights areas for targeted discharge support

Continuous monitoring of these trends is essential to evaluate intervention success and identify areas needing revision. This iterative process allows healthcare systems to maintain high standards and achieve better patient outcomes.

Regulatory Bodies for Safe Practice

Regulatory compliance is integral to this initiative, particularly the standards set forth by the Centers for Medicare & Medicaid Services (CMS). CMS promotes the meaningful use of electronic health records as a mechanism to elevate care quality, operational efficiency, and safety outcomes (Alammari et al., 2021). This initiative adhered to CMS requirements by ensuring accurate data capture and transparent reporting practices. By aligning the spreadsheet development and data usage with CMS directives, the project ensured evidence-based, patient-focused interventions that meet national healthcare quality benchmarks and support funding incentives.

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

American Nurses Association (ANA). (2021). Nursing informatics: Scope and standards of practice. https://www.nursingworld.org/~49c602/globalassets/catalog/book-toc/nursing-informatics-3e-sample-chapter.pdf

NURS FPX 6410 Assessment 2 Executive Summary to Administration

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

Edemekong, P. F., Haydel, M. J., & Annamaraju, P. (2024). Health Insurance Portability and Accountability Act (HIPAA). StatPearls. 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

NURS FPX 6410 Assessment 2 Executive Summary to Administration