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 tailored for key hospital stakeholders, including administrators, clinical managers, IT experts, and regulatory compliance officers. Its primary objective is to present concise, relevant, and actionable data related to an initiative aimed at minimizing hospital readmission rates through effective informatics strategies. By offering clear insights derived from data analysis, this summary intends to support evidence-based, strategic decision-making processes. Stakeholders will be equipped with vital information to assess current performance, determine improvement areas, and implement data-driven changes that enhance patient care and institutional outcomes.

Value of Establishing Spreadsheet Adhering to HIPAA Law

A HIPAA-compliant spreadsheet has been developed to systematically track and manage readmission data for this initiative. The Health Insurance Portability and Accountability Act (HIPAA) underscores the importance of safeguarding patient health information by ensuring secure, private, and ethical data management practices (Edemekong et al., 2024). The spreadsheet uses de-identified patient data fields, ensuring individual privacy while preserving the analytical value of collected information. Such a framework not only aligns with federal legal obligations but also fosters patient trust and confidence in how their information is handled. Ensuring data security and confidentiality allows healthcare teams and stakeholders to focus on improving care outcomes while remaining compliant with data protection standards.

Nursing Informatics Model and the Change Initiative

The Data-Information-Knowledge-Wisdom (DIKW) model has been employed to guide this change initiative, which targets the reduction of hospital readmission rates. Initially, raw data such as readmission occurrences, follow-up visit completions, and medication compliance rates are gathered. This data is then structured into information sets that reveal key patterns and correlations related to patient outcomes. Through analysis, these insights evolve into knowledge, identifying patients at higher risk for readmission. Subsequently, this knowledge is applied to generate actionable wisdom, enabling healthcare professionals to implement targeted, evidence-based interventions. The DIKW framework ensures a systematic, data-driven approach, transforming complex clinical data into practical strategies that enhance patient safety and reduce preventable readmissions (Cato et al., 2020).

Standards of Practice in Nursing Informatics

This initiative strictly adheres to nursing informatics standards of practice, as outlined by the American Nurses Association (ANA, 2021). The focus is on ensuring data integrity, security, and accessibility to support clinical decision-making. Key practices include accurate data capture using standardized tools, secure storage within Electronic Health Record (EHR) systems, and the integration of Clinical Decision Support Systems (CDSS) to inform patient care strategies. These informatics tools enable clinicians to access timely, relevant data, improving discharge planning, medication reconciliation, and patient follow-up processes. As a result, healthcare teams can better predict readmission risks, proactively address complications, and provide personalized patient education, leading to improved care outcomes.

Data Trending and Healthcare Outcome

Analysis of patient care data has revealed significant trends influencing readmission rates. The table below summarizes findings on follow-up appointments and medication adherence, both crucial determinants in readmission prevention (Browder & Rosamond, 2023; Glans et al., 2021).

Table 1

Data Trends Impacting Hospital Readmission Rates

Indicator	Value/Outcome	Implication
Completed Follow-up Appointments	36 cases	Reflects patient engagement and post-discharge care compliance
Medication Adherence Rate	35%	Highlights the need for enhanced patient education and medication management

These data points highlight areas needing improvement, particularly in medication adherence, which remains a significant contributor to readmissions. By recognizing such patterns, healthcare institutions can design targeted interventions such as medication counseling, improved discharge instructions, and patient-centered follow-up care. Continuous monitoring and data trending will allow teams to assess the effectiveness of implemented strategies and adjust them as needed to optimize patient safety and health outcomes.

NURS FPX 6410 Assessment 2 Executive Summary to Administration

Regulatory Bodies for Safe Practice

The role of regulatory bodies such as the Centers for Medicare & Medicaid Services (CMS) has been central to this initiative. CMS mandates the meaningful use of EHRs to elevate the quality, safety, and efficiency of patient care while promoting interoperability and secure health information exchange (Alammari et al., 2021). In this project, CMS regulations guided the establishment of data management protocols, ensuring that patient care practices remain evidence-based and centered on measurable outcomes. The initiative’s spreadsheet adheres to these standards by prioritizing accurate data entry, timely reporting, and proactive care planning. Compliance with CMS directives also ensures that the institution benefits from incentive programs while maintaining high standards in patient care delivery and safety.

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. (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

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/

NURS FPX 6410 Assessment 2 Executive Summary to Administration

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