Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice.

作者：A. Watson, Carmel Bond, H. Aveyard, Graeme D Smith, Debra Jackson · 发表于：Journal of Clinical Nursing · 年份：2025 · DOI：10.1111/jocn.70151 · 被引用次数：11 · 研究领域：Medicine

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. DATA SOURCES CINAHL, MEDLINE, and Embase. RESULTS Included literature was a representative mix of single-group quality improvement pilots, mixed-method usability and feasibility studies, randomised controlled trials, qualitative descriptive and phenomenological studies, as well as preliminary and proof-of-concept observational research. Four overarching themes emerged: (1) Workflow Integration and Efficiency, (2) AI-Augmented Clinical Reasoning, (3) Patient-Facing Communication and Education, and (4) Role Boundaries, Ethics and Trust. ...