Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice
Keywords
Clinical nursing, artificial intelligence, generative AI, nursing informatics, technology, biotech
Abstract
Aim
The aim of this integrative review is to critically appraise and synthesise empirical evidence on the clinical applications, outcomes, and implications of generative artificial intelligence in nursing practice.
Design
Integrative review following Whittemore and Knafl's five-stage framework.
Methods
Systematic searches were performed for peer-reviewed articles and book chapters published between 1 January 2018 and 30 June 2025. Two reviewers independently screened titles/abstracts and full texts against predefined inclusion/exclusion criteria focused on generative artificial intelligence tools embedded in nursing clinical workflow (excluding nursing education-only applications). Data were extracted into a standardised matrix and appraised for quality using design-appropriate checklists. Guided by Whittemore and Knafl's integrative review framework, a constant comparative analysis was applied to derive the main themes and subthemes.
Original Publication Citation
Watson, A. L., Bond, C., Aveyard, H., Smith, G. D., & Jackson, D. (2025). Generative AI at the bedside: An integrative review of applications and implications in clinical nursing practice. Journal of Clinical Nursing. https://doi.org/10.1111/jocn.70151
BYU ScholarsArchive Citation
Watson, Adrianna Lorraine PhD, RN, CCRN, TCRN; Bond, Carmel; Aveyard, Helen; Smith, Graeme D.; and Jackson, Debra, "Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice" (2025). Faculty Publications. 8011.
https://scholarsarchive.byu.edu/facpub/8011
Document Type
Peer-Reviewed Article
Publication Date
2025-11-26
Publisher
Journal of Clinical Nursing
Language
English
College
Nursing
Copyright Use Information
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