reviewFrontiers in Digital HealthMar 7, 2025GOLD OA

Artificial intelligence in nursing: an integrative review of clinical and operational impacts

Cairo University · Saad Specialist Hospital · +1 more institution

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

Advances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. These innovations promise enhanced diagnostic precision, improved operational workflows, and more personalized patient care. However, the direct impact of AI on clinical outcomes, workflow efficiency, and nursing staff well-being requires further elucidation.

Methods

This integrative review synthesized findings from 18 studies published through November 2024 across diverse healthcare settings. Using the PRISMA 2020 and SPIDER frameworks alongside rigorous quality appraisal tools (MMAT and ROBINS-I), the review examined the multifaceted effects of AI integration in nursing. Our analysis focused on three principal domains: clinical advancements and patient monitoring, operational efficiency and workload management, and ethical implications.

Citation impact

75
total citations
FWCI
36.19
Percentile
100%
References
51
Citations per year

Authors

8

Topics & keywords

Keywords
  • Workflow
  • Workload
  • Health care
  • Psychological intervention
  • Patient safety
  • Nursing
  • Medicine
  • Computer science
UN Sustainable Development Goals
  • Quality Education
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