Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals.

Area of Science:

• Healthcare Informatics
• Medical Education
• Artificial Intelligence in Medicine

Background:

• The increasing integration of artificial intelligence (AI) into clinical settings necessitates a clear understanding of required professional competencies.
• Effective and ethical use of AI-based clinical tools is crucial for patient care and safety.

Purpose of the Study:

• To define essential clinical competencies for health care professionals interacting with artificial intelligence (AI) tools.
• To establish a framework for training and education on AI in health care.

Main Methods:

• Qualitative study employing semistructured interviews with 15 experts in AI-based health care tools.
• Thematic analysis of interview transcripts to identify core competency domains.
• Expert feedback and consensus process to finalize competency statements.

Main Results:

• Six distinct competency domains and 25 subcompetencies were identified.
• Domains include basic AI knowledge, ethical implications, AI-enhanced encounters, evidence-based evaluation, workflow adaptation, and continuous learning.
• Competencies cover understanding AI, its societal impact, clinical application, tool evaluation, workflow integration, and professional development.

Conclusions:

• The identified 6 clinical competencies provide a foundation for developing educational programs for AI in health care.
• These competencies will help maximize the benefits of AI tools while mitigating potential risks in clinical practice.