Barriers and facilitators to nurses' adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies.

Journal: BMJ open
Published Date: Aug 21, 2025

Abstract

INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being developed and deployed to support clinical decision-making, care delivery and patient monitoring in healthcare. However, the adoption of AI-driven solutions by nurses, who comprise the largest segment of the healthcare workforce and are central to patient care, has been limited to date. Understanding nurses' perceptions of barriers and facilitators to AI adoption is critical for successful integration of AI in nursing practice. This systematic review aims to identify, appraise and synthesise qualitative evidence on nurses' perceived barriers and facilitators to adopting AI-driven solutions in their clinical practice.

Authors

  • Ravi Shankar
    Studio of Computational Biology & Bioinformatics, The Himalayan Centre for High-throughput Computational Biology, (HiCHiCoB, A BIC supported by DBT, India)CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), India.
  • Fiona Devi
    National University Health System, Singapore.
  • Emily Ang
    Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore.
  • Joyce Er
    National University Health System, Singapore.

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