Medical and Health Professions Education

Medical and Health Professions Education (HPE) — the teaching and training of medical, nursing, pharmacy, and allied health professionals. AI is reshaping this domain through clinical Simulation, reinforcement learning trainers, adaptive learning, and the application of foundational learning principles (experiential, situated, and distributed cognition) in health-professions contexts. Because HPE is high-stakes, competency-based, and clinically embedded, it raises distinct questions about AI's role in skill acquisition, patient safety, and the educator's judgment.

AI in medical and health-professions education is a growing strand of the wiki's subject-area coverage. Unlike general higher education, HPE is oriented toward the development of clinical competencies, procedural skills, and professional judgment, which shapes how AI tools are designed and evaluated.

How AI appears in health-professions education

• Operationalizing foundational learning principles. Fowlin et al. (developed at the Medical University of South Carolina) argue that AI should be used to operationalize age-old learning principles — Dewey's experiential learning, situated cognition, and distributed cognition — rather than replace the educator's guiding role. AI enhances personalized and adaptive learning while the teacher remains central to student engagement and outcomes.
• Clinical skills and reinforcement learning. ResidencyRL uses reinforcement learning to train clinical reasoning and procedural skills in residency, demonstrating AI as a skills-training partner in real clinical workflows.
• Simulation and agentic AI. Agentic AI simulation in brachytherapy shows how AI agents support hands-on procedural training in medical specialties.
• Gamification of medical learning. MedGame applies gamification and LLMs to engage medical students.
• Nursing and interdisciplinary education. AI transformation of nursing education documents how AI reshapes nursing curricula and instruction.

Why it matters

HPE is a high-stakes, competency-based domain where AI's benefits (scalable practice, adaptive feedback, simulation) must be balanced against risks (Over-Reliance, erosion of hands-on clinical skill, ethical and safety concerns). The wiki's general concepts — Teacher Role, Assessment, Feedback, Equity In AI Education, and Ethics — apply with particular intensity in health professions, where errors carry direct patient consequences.

Implications for health-professions educators

• Use AI to operationalize learning principles, not replace the educator. Fowlin et al. argue AI should operationalize experiential, situated, and distributed-cognition learning while the teacher remains central to engagement and outcomes.
• Leverage AI for clinical skills training. ResidencyRL and agentic simulation show AI as a skills-training partner in real clinical workflows — embed it where it adds safe, scalable practice.
• Balance high-stakes benefits against over-reliance. HPE is competency-based and high-stakes; guard against AI substituting for hands-on clinical skill and judgment, and apply Feedback, Assessment, and Ethics considerations with particular care.
• Adapt gamified and interdisciplinary AI thoughtfully. Gamified LLM learning and nursing-education transformation show promise but need evaluation for safety and skill outcomes.

Connected Concepts

• Problem Based Learning
• Higher Ed
• Simulation
• Adaptive Learning
• Personalized Learning
• Game Based Learning
• Experiential Learning
• Situated Learning
• Distributed Cognition
• Teacher Role
• Assessment
• Feedback
• AI Education
• Discipline Specific AIED

Connected Articles

• GenAI Simulate Patient History Pbl 2026
• Fowlin Operationalizing Learning Principles AI — Operationalizing experiential, situated, and distributed cognition with AI in health-professions education
• Residencyrl Clinical RL Training 2026 — Reinforcement-learning training for clinical skills in residency
• Medgame LLM Medical Education Gamification — Gamified LLM-based learning for medical education
• Hdr Brachytherapy Agentic AI Simulation 2026 — Agentic AI simulation for brachytherapy training
• Alrazeeni Transforming Nursing Education AI 2026 — Transforming nursing education with AI