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Artificial Intelligence in Nursing Practice: Decisional Support, Clinical Integration, and Future Directions | OJIN: The Online Journal of Issues in Nursing.

Integrating artificial intelligence (AI) into healthcare has the potential to transform nursing practice. Nurses can utilize the capabilities of AI to incorporate evidence-based practices and enhance patient outcomes. For example, one main application of AI in nursing is clinical decision support (C...

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Published in:Online Journal of Issues in Nursing Vol. 30; no. 2
Main Author: Brydges, Garry
Format: tables/charts Journal Article
Published: American Nurses Association May2025
Online Access:View this record in EBSCOhost
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      dt: May2025
      vid: 30
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      pub: American Nurses Association
      place: Silver Spring, Maryland
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        atl: Artificial Intelligence in Nursing Practice: Decisional Support, Clinical Integration, and Future Directions | OJIN: The Online Journal of Issues in Nursing.
      aug:
        au: Brydges, Garry
      sug:
        subj:
          Artificial Intelligence
          Nursing Practice
          Decision Support Systems, Clinical
          Health Policy
          Nursing Role Ethical Issues
          Ethics, Nursing
          Implementation Science
          Nursing Practice, Evidence-Based
          Individualized Medicine
          Treatment Outcomes
          Patient Safety
          Patient Education
          Workflow
          Robotics
          Accountability
          Computer Literacy
          Uncertainty
          Education, Nursing
          Bias (Research)
          Faculty Education
          Lifelong Learning
          Learning Methods
          Student Attitudes
          Licensure Standards
          Certification Standards
          Health Services Accessibility
      ab: Integrating artificial intelligence (AI) into healthcare has the potential to transform nursing practice. Nurses can utilize the capabilities of AI to incorporate evidence-based practices and enhance patient outcomes. For example, one main application of AI in nursing is clinical decision support (CDS) systems, which assist nurses to interpret complex patient data, identify potential complications, and personalize care. AI tools are also evolving at the systems level. AI tools can optimize nursing workflows by automating routine tasks, managing patient appointments, and streamlining documentation. Despite these benefits, integrating AI applications into nursing practice also presents challenges related to data privacy, ethical considerations, and appropriate training. This article explores how AI supports clinical decision-making, presents real-world examples of its application in nursing settings, examines changes to the nursing scope of practice, discusses ethical implications, and envisions the future role of AI in healthcare delivery and education. Included within is a discussion about the need to redefine the scope of nursing practice in response to these emerging technologies, and a call to action to prepare nurses and nursing practice for AI integration.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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