Researchers from the National University Health System and National University of Singapore will conduct a meta-ethnography of qualitative studies to synthesize nurses’ perceived barriers and facilitators to adopting AI-driven clinical solutions, employing GRADE-CERQual to assess evidence confidence and informing strategies for effective AI integration in nursing practice.

Key points

• Meta-ethnography synthesizes qualitative studies from eight databases to derive overarching themes of nurses’ AI adoption.
• CASP checklist and GRADE-CERQual approach assess the methodological quality and confidence in review findings.
• Multi-level analysis examines individual, professional, organizational, and technological factors influencing nurses’ AI adoption.

Why it matters: Nurses’ perspectives are essential for successful AI integration in healthcare, guiding technology design and implementation strategies.