Policy and Regulatory Frameworks for AI/ML in Primary Care: A Scoping Review

Artificial intelligence (AI) and machine learning (ML) technologies are increasingly being integrated into primary care settings worldwide, promising to enhance clinical decision-making, improve efficiency, and support care delivery. Various regulatory bodies, professional organizations, and governments have begun developing guidelines and policies for AI/ML in healthcare, there is currently no comprehensive synthesis of these frameworks specifically addressing primary care contexts. This scoping review aims to map the existing policy and regulatory landscape for AI/ML technologies in primary care settings to identify commonalities, gaps, and emerging best practices to inform future policy development and implementation.