Registered nurses' experiences with generative artificial intelligence: a meta-synthesis of qualitative studies

Area of Science:

• Nursing
• Artificial Intelligence
• Healthcare Technology

Background:

• Generative artificial intelligence (GAI) is emerging in clinical practice and nursing research.
• Understanding nurses' experiences with GAI is crucial for its integration.

Purpose of the Study:

• To synthesize qualitative evidence on registered nurses' experiences with GAI.
• To identify benefits, challenges, and support needs for standardized GAI implementation in nursing.

Main Methods:

• Qualitative meta-synthesis using the Joanna Briggs Institute meta-aggregation approach.
• Searched multiple databases up to April 2026.
• Included six qualitative studies with 113 registered nurses.

Main Results:

• GAI may enhance work efficiency and professional competence.
• Nurses face ethical, cultural, and operational challenges with GAI.
• Nurses require training, institutional support, and clear guidance for GAI use.

Conclusions:

• Registered nurses perceive GAI as a supportive tool for efficiency and decision-making.
• Current evidence is limited; findings are preliminary.
• Further research is needed for safe and responsible GAI integration in diverse healthcare settings.