Artificial intelligence in medical education curriculum: An e-Delphi study for competencies.

Area of Science:

• Medical Education
• Artificial Intelligence
• Healthcare Technology

Background:

• Artificial intelligence (AI) is significantly impacting healthcare, necessitating a strong understanding among medical professionals.
• Medical students require foundational knowledge of AI to comprehend its role in clinical decision-making and patient care.
• Integrating AI concepts into medical education is crucial for preparing graduates for the evolving healthcare landscape.

Purpose of the Study:

• To establish a consensus on the core competencies medical graduates need to be proficient with artificial intelligence (AI) technologies in medicine.
• To identify key AI applications and their implications for medical practice and education.

Main Methods:

• A three-round e-Delphi survey was conducted from February to November 2020.
• An expert panel comprising healthcare, computer science, law, and ethics professionals, along with medical students, participated.
• A 27-item questionnaire, refined from open-ended responses, was rated on a 7-point Likert scale to determine consensus.

Main Results:

• Out of 128 invitees, 94 experts participated in the study.
• A strong consensus was reached on 23 core competencies, with weak agreement on 4 additional items.
• High response rates were maintained throughout the three survey rounds.

Conclusions:

• The study provides a consensus-based list of competencies for medical graduates regarding AI in medicine.
• These findings offer guidance for integrating AI into medical school curricula, syllabus content, and training programs.
• This research highlights the importance of preparing future physicians for the AI-driven transformation of healthcare.