Physicians' required competencies in AI-assisted clinical settings: a systematic review

Area of Science:

• Medical Informatics
• Clinical AI Implementation
• Physician Competency Development

Background:

• Artificial Intelligence (AI) offers significant benefits in clinical settings.
• Uncertainty exists regarding the necessary requirements for AI users at the bedside.
• Understanding human requirements for medical AI use is crucial for responsible implementation.

Purpose of the Study:

• To systematically review academic literature on physician competencies for AI-assisted clinical settings.
• To identify current understanding and gaps in knowledge regarding AI user requirements.

Main Methods:

• Systematic review of academic literature.
• Analysis of studies discussing medical AI implications for physician competencies.

Main Results:

• Physicians require a blend of critical human skills and technical/digital AI competencies.
• Guidance on specific physician competencies for AI-assisted care is currently ambiguous.
• There is ongoing debate regarding physician preparedness, ownership of AI guidance, and training.

Conclusions:

• The review provides a foundation for future research on responsible AI use in healthcare.
• Further research should define physician AI competencies, ownership of training, trust factors, and AI's impact on patient care efficiency.