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Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

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Artificial intelligence (AI) education in military medical training is fragmented, creating a readiness gap. A new competency-based framework integrates AI across undergraduate medical education to prepare officers for future operational demands.

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Military Medicine

Background:

  • Artificial intelligence (AI) is increasingly integrated into Military Health System (MHS) operations, impacting diagnosis, planning, and health protection.
  • Current undergraduate medical education (UME) lacks comprehensive AI training, leading to a readiness gap for future military medical officers.
  • Existing AI education is fragmented, hindering the development of skills needed to manage AI tools, recognize bias, and apply them in austere environments.

Purpose of the Study:

  • To propose a longitudinal, competency-based framework for integrating AI education into UME.
  • To embed AI competencies within existing medical education domains, rather than as a standalone subject.
  • To enhance the readiness of future military medical officers for AI-driven healthcare in operational settings.

Main Methods:

  • Developed a framework aligned with the 2024 Foundational Competencies for Undergraduate Medical Education.
  • Proposed a scaffolded progression across pre-clerkship, clerkship, and post-clerkship phases.
  • Emphasized integration within existing domains like Patient Care and Systems-Based Practice.

Main Results:

  • The framework facilitates foundational knowledge acquisition in pre-clerkship.
  • Enables application of AI tools in clinical documentation and decision-making during clerkship.
  • Refines ethical judgment, privacy awareness, and operational readiness for graduate medical education.

Conclusions:

  • Integrating AI education across UME is crucial for force readiness and mission success.
  • Competency-based AI training ensures military medical officers can evaluate AI, operate in austere settings, and communicate effectively.
  • Successful implementation requires curriculum design, faculty development, IT governance, and alignment with military training pipelines.