Health IT and Nursing-Sensitive Indicators: Improving Patient Outcomes
This paper examines the role of health information technology (HIT) in establishing measurable connections between nursing care and improved patient outcomes. Drawing on nursing-sensitive indicators (NSIs), eMeasures, and electronic health records (EHRs), the paper reviews evidence from the Institute of Medicine, the National Quality Forum, and the Interdisciplinary Nursing Quality Research Initiative to assess how HIT interventions can target care delivery processes. It also addresses practical barriers to HIT adoption, including system design flaws, data silos, and workforce education gaps. The paper concludes with recommendations for standardizing nursing informatics competencies and expanding eMeasure implementation across health systems.
- Introduction: Defines HIT, NSIs, and nursing informatics scope
- Background: Historical evidence linking nursing care and outcomes
- Review of Literature: Evidence on HIT, eMeasures, and nursing documentation
- Discussion: Benefits, barriers, and workflow implications of HIT
- Recommendations: Nursing informatics education and standards proposals
- Conclusion: Need for eMeasure infrastructure and HIT frameworks
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What makes this paper effective
- The paper grounds its argument in authoritative sources — IOM reports, NQF frameworks, and peer-reviewed nursing journals — lending credibility to its claims about HIT and nursing-sensitive indicators.
- It presents a balanced analysis by acknowledging both the potential benefits of HIT adoption and the real-world obstacles such as data silos, implementation complexity, and error introduction.
- The structure moves logically from historical context (Florence Nightingale) through literature review to practical recommendations, creating a coherent argumentative arc.
Key academic technique demonstrated
The paper demonstrates effective use of synthesized evidence from multiple institutional sources — government bodies, professional associations, and empirical studies — to support a policy-oriented argument. Rather than relying on a single study, it triangulates across the Cochrane Review, NQF data, and INQRI findings to build a layered case for HIT-driven quality improvement in nursing.
Structure breakdown
The paper opens with a conceptual introduction defining HIT and NSIs, followed by a historical and statistical background section. A literature review consolidates current evidence on HIT and nursing documentation. The discussion section addresses both the promise and pitfalls of HIT adoption, including EHR evaluation and informatics workflow. A recommendations section targets nursing education and informatics standards, and the conclusion reaffirms the need for eMeasure infrastructure.
Introduction
Health information technology (HIT) is capable of transforming care quality and establishing connections between patient outcomes and nursing care. This paper examines the application of health IT and nursing-sensitive indicators (NSIs) for improving care quality and forging those connections. NSIs refer to measures reflecting nursing care process, structure, and outcomes. NSIs of outcome denote caregiver or patient measurement approaches that are sensitive to nursing care.
While a number of advocates deliberate over the perceived advantages of health IT, an honest consideration of practical experiences with real HIT systems — together with the drawbacks and obstacles associated with poorly constructed systems — is often not addressed. Ultimately, the aim must be improvements to quality, added convenience, and growth of efficiency, rather than the mere creation of wired health facilities.
Nursing informatics as a practice specialty is having a major impact on the way care is planned and delivered in the current healthcare environment. Nursing informatics refers to that component of informatics designed for and relevant to nurses; it includes information management, knowledge from sciences other than nursing, and the importance of informatics within all areas of nursing management. This paper illustrates HIT's role in managing better patient outcomes and nursing care by concentrating on two mechanisms: (1) HIT interventions, and (2) eMeasurement, both of which directly target nursing-sensitive measures.
Background
Longstanding evidence exists of nursing care's relationship with better patient outcomes. Florence Nightingale, a pioneer of nursing, employed quality improvement data to support a handwashing effort aimed at preventing the deaths of Crimean War soldiers from hospital-acquired infections. In the last ten years, the Interdisciplinary Nursing Quality Research Initiative (INQRI) of the Robert Wood Johnson Foundation demonstrated nursing care's impact on patient-sensitive care outcomes such as delirium prevention, fall prevention, and pain management (Balas et al., 2012).
Despite scientific advances occurring since the middle of the 19th century, U.S. patient care quality remains suboptimal. A collection of reports by the Institute of Medicine (IOM), issued over the last decade, indicates that care quality across the nation is variable and that rates of error are high. Even where evidence exists, it is not applied consistently in practice. Another concern is mounting healthcare expenditure, which presently accounts for 18% of gross domestic product (GDP). If this trend persists, healthcare expenses for 2040 could be as high as 34% of GDP (Council of Economic Advisors, 2009; Dykes & Collins, 2013). Variable care quality and unsustainable expenses are fueling changes to healthcare practice and policy, and HIT adoption has long been recommended as an approach that will facilitate safe, economical, and superior-quality patient care.
References
Balas, M. C., Rice, M., Chaperon, C., Smith, H., Disbot, M., & Fuchs, B. (2012). Management of delirium in critically ill older adults. Critical Care Nurse, 32(4), 15–26. doi:10.4037/ccn2012480
Cassano, C. (2014). The right balance — Technology and patient care. Innovation, 401, 10.
Chapter 3 (n.d.). Healthcare environment: Innovation, technology, and legal issues in nursing. Retrieved April 19, 2016, from
Council of Economic Advisors. (2009). The economic case for health care reform. Washington, D.C.
Dykes, P., & Collins, S. (2013). Building linkages between nursing care and improved patient outcomes: The role of health information technology. OJIN: The Online Journal of Issues in Nursing, 18(3).
Herrick, D. M., Gorman, L., & Goodman, J. C. (2010). Health information technology: Benefits and problems. National Center for Policy Analysis.
Hughes, C. K. (n.d.). Informatics and technology in professional nursing practice. Retrieved April 18, 2016, from http://samples.jbpub.com/9781449691509/81982_CH14_Pass1.pdf
Stevens, K. (2013). The impact of evidence-based practice in nursing and the next big ideas. The Online Journal of Issues in Nursing, 18(2).
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