The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
Lquintans
WK2Assgn_QuintansL.pptxNurse Leader as a Knowledge Worker
Laura Quintans
Walden University
NURS-6051C
Dr. Howe
Jun 5th, 2025
Who Is a Knowledge Worker
Coined by Drucker in 1959, knowledge workers use expertise.
They analyze data, apply theories, and solve complex problems.
Require advanced education, critical thinking, and continuous learning abilities.
Common in fields like engineering, law, education, and healthcare.
Not defined by labor, but by cognitive and intellectual contributions.
Central to innovation, decision-making, and process improvement across industries.
(Nagle, Sermeus, & Junger, 2017).
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Nursing Informatics: Role in Nursing Work
Integrates nursing science with information, computer, and cognitive sciences.
Enhances healthcare through data management, analysis, and communication systems.
Supports evidence-based practice, improving patient safety and outcomes.
Enables nurses to access, interpret, and apply clinical data.
Requires informatics competencies like data literacy and system evaluation.
Empowers nurse leaders to innovate with real-time, actionable insights.
(Sweeney, 2017).
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Nurse Leader as a Knowledge Worker
Applies data and evidence to guide clinical and administrative decisions.
Leads teams using insights from patient records and analytics.
Translates complex information into actionable practice improvements.
Champions technology adoption and informatics education among staff.
Collaborates across disciplines using shared health information systems.
Monitors quality metrics and outcomes to guide nursing strategies.
(McGonigle & Mastrian, 2022; Nagle, Sermeus & Junger, 2017)
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Infographic: Nurse Leader as a Knowledge Worker
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Hypothetical Scenario: Reducing Readmissions for Heart Failure Patients
Nurse leader targets 30-day readmissions for heart failure patients.
Reviews EHR data: vitals, BNP, ejection fraction, medication adherence.
Adds demographics, behavior, and previous utilization for risk stratification.
Uses dashboards and predictive tools to flag high-risk individuals.
Implements education, telemonitoring, follow-up, and home health visits.
Evaluates interventions using ongoing outcome data for continuous improvement.
(McGonigle & Mastrian, 2022; Nagle, Sermeus & Junger, 2017)
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Accessing Data, Generating Knowledge
Data sources: EHRs, dashboards, surveys, incident reporting systems, wearables.
Data is accessed via hospital systems, secure portals, and applications.
Must follow HIPAA standards to ensure patient data privacy.
Knowledge derived from trends, correlations, and predictive analytics tools.
Supports decision-making at both clinical and administrative levels.
Promotes proactive, rather than reactive, care delivery strategies.
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References
Drucker, P. F. (1959). The landmarks of tomorrow. Harper & Row.
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
Nagle, L., Sermeus, W., & Junger, A. (2017). Evolving role of the nursing informatics specialist. In J. Murphy, W. Goosen, & P. Weber (Eds.), Forecasting competencies for nurses in the future of connected health (pp. 212–221). IMIA & IOS Press. https://serval.unil.ch/resource/serval:BIB_4A0FEA56B8CB.P001/REF
Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1). https://www.himss.org/resources/ojni-vol-21-number-1
