Leveraging machine learning in nursing: innovations, challenges, and ethical insights.

Journal: Frontiers in digital health
Published Date: May 23, 2025

Abstract

AIM/OBJECTIVE: This review aims to provide a comprehensive analysis of the integration of machine learning (ML) (1) in nursing by exploring its implications on patient care, nursing practices, and healthcare delivery. It highlights current applications, challenges, ethical considerations, and the potential future developments of ML in nursing.

Authors

  • Sophie So Wan Yip
    School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China.
  • Sheng Ning
    School of Computer Science, University of Leeds, Leeds, United Kingdom.
  • Niki Yan Ki Wong
    School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Jeffrey Chan
    Department of Mathematics, Faculty of Natural Sciences, Imperial College, London, United Kingdom.
  • Kei Shing Ng
    Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
  • Bernadette Oi Ting Kwok
    Department of Ocean Science, Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China.
  • Robert L Anders
    School of Nursing, University of Texas at El Paso, El Paso, TX, United States.
  • Simon Ching Lam
    School of Nursing, Tung Wah College, Ho Man Tin, Hong Kong SAR, China.

Keywords

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