This abstract was part of the 2026 UCSF AI and Education Symposium
AI standardized patient (SP) platforms support students’ core clinical skills by enabling practice with empathic communication, data gathering, clinical reasoning, and documentation. In the clinical setting, learners are frequently assessed on oral presentation skills. Faculty also use the oral presentation as a teaching moment - hearing from students before engaging in a one-minute preceptor activity that probes student thinking and then offers a precision education experience with transferable clinical pearls addressing knowledge gaps. This approach combines opportunities for practice of key clinical skills with teaching moments.
MedSimAI, an AI-SP platform developed at Cornell, Weill Cornell, UCSF and Yale, enables multi-step clinical scenarios in which students complete a clinical encounter and then present to an AI preceptor followed by a one-minute preceptor teaching moment. Cases are developed in collaboration with clerkship leadership to highlight key case presentations.
Initial feedback from students reflects the value of the AI-preceptor teaching to reinforce and explain variations in practice and its potential as a tool to prepare learners for successful transition to clerkship. Development of a case bank of core clinical experiences for select clerkships (e.g. pediatrics) demonstrates the ability to support competency-based medical education.
This show-and-tell will allow participants to try out a voice-based clinical encounter with an AI SP, share an oral presentation with an AI preceptor and continue engaging with the AI preceptor in a conversation based on the one-minute preceptor approach.
Contact
Susannah Cornes, [email protected]
Arthur Chyan - [email protected]
Flora Wong - [email protected]