Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views

Area of Science:

• Biomedical Informatics
• Primary Care Technology
• Artificial Intelligence in Healthcare

Background:

• Generative artificial intelligence (GenAI) is increasingly discussed for its potential to aid clinical tasks.
• Biomedical informatics and related fields are actively debating the role of GenAI in healthcare.

Purpose of the Study:

• To investigate the perspectives of general practitioners (GPs) regarding the use and impact of GenAI in primary care settings.
• To explore UK GPs' experiences and opinions on GenAI's application in clinical practice.

Main Methods:

• A web-based survey was distributed to 1005 UK GPs in January 2025.
• Qualitative inductive descriptive analysis was performed on open-ended comments regarding GenAI experiences.
• The Technology Acceptance Model informed the interpretation of qualitative themes.

Main Results:

• 611 GPs provided comments, revealing themes of "unfamiliarity," "ambivalence and anxiety," and "role in clinical tasks."
• GPs highlighted a need for GenAI training, expressed concerns about diminished human connection and AI accountability, and saw potential for documentation assistance.
• Female GPs and those who had used GenAI were more likely to provide comments.

Conclusions:

• The study offers insights into UK GPs' views on GenAI's role, impact, and limitations in primary care.
• A significant lack of understanding and training regarding GenAI persists among GPs.
• Further qualitative research is recommended for a deeper understanding of GPs' perspectives on GenAI adoption.