Research group · Serena Wang, MD

Building — and studying — AI-native medical education

We research the uses of AI in medical education along two axes: using AI to deliver the education itself — tutors, simulators, and learning platforms — and training faculty and learners in the emerging AAMC AI competencies, so the next generation enters practice as an AI-ready physician workforce.

Current projects

• RCT in progress

  AI Clinical Reasoning Tutor

  A randomized controlled trial of an AI agent that plays simulated patient, electronic health record, and faculty tutor at once, teaching clinical reasoning in the pre-clerkship curriculum.

• Live platform

  AI-Assisted Faculty Development Hub

  A privacy-first learning management system for faculty development in AI, with a grounded AI tutor, recorded course series, and leadership analytics.

• Live in the Hub

  AI Video Communication Training

  Live spoken practice conversations with an AI-simulated mentee — video avatar plus voice — followed by a structured, mentoring-competency-aligned debrief.

• Internal tool

  AI Curriculum Mapping

  A framework-comparison platform that synthesizes major AI-competency frameworks into one unified structure for gap analysis and institutional framework building.

• Ongoing integration

  AI Competencies in the Curriculum

  Systematic integration of AI competencies into the pre-clerkship and clinical curriculum through the Foundations of Practice course and Intersessions workshops.

• In progress

  AI Guidelines for Faculty & Learners

  Institutional guidelines for safe, ethical, and effective AI use in academic medicine, developed through the AI in Medical Education Council.

Why this work

Medicine is shifting from a knowledge-gated to a judgment-gated profession: what once bottlenecked on recall increasingly bottlenecks on reasoning, communication, and the wise use of powerful tools. Our projects treat AI both as a subject of the curriculum and as an instrument for delivering it — always with human oversight, measured outcomes, and strict data-privacy commitments.

We welcome conversations with external collaborators — medical schools, education researchers, and platform partners — working on AI tutors, simulation, competency frameworks, or faculty development. See About the PI for contact and verification details.