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Expert Consensus on the Artificial Intelligence Proficiency Competency List and Assessment Framework for Medical

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This consensus outlines an artificial intelligence (AI) literacy competency list and assessment framework for medical students. It aims to prepare future healthcare professionals for an AI-driven medical landscape.

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Competency-Based Education

Background:

  • The rapid advancement of intelligent healthcare necessitates training medical professionals with AI literacy.
  • Existing medical education frameworks require adaptation to integrate AI competencies.
  • Competency-based medical education (CBME) provides a foundation for developing AI-ready clinicians.

Purpose of the Study:

  • To develop a comprehensive AI literacy competency list for medical students.
  • To establish a practical assessment framework for evaluating AI competencies in medical education.
  • To guide medical schools in integrating AI into their curricula for intelligent healthcare.

Main Methods:

  • A two-round Delphi method involving a multidisciplinary expert panel.
  • Systematic literature review to inform competency development.
  • Integration of competency models and Miller's pyramid of clinical competence.

Main Results:

  • A 21-indicator AI literacy competency list for medical students, categorized into knowledge (8), skills (8), and attitudes (5).
  • A proposed assessment system including standardized tests, situational judgment tests, and AI-scenario-based objective structured clinical examinations.
  • A recommended longitudinal assessment strategy across admission, preclinical, and clinical training phases.

Conclusions:

  • The developed AI competency list and assessment framework possess scientific rigor and practical applicability.
  • This consensus serves as a crucial reference for medical schools integrating AI into education.
  • It supports the cultivation of composite medical talents for the era of intelligent healthcare.