| Title | Conversational AI for Clinical Confidence: Supporting the Transition to Real-World Patient Care in Medical Education |
|---|---|
| Faculty/College/Unit | Medicine |
| Status | Active |
| Duration | 1 Year |
| Initiation | 04/01/2025 |
| Project Summary | This project supports medical students’ transition into clinical rotations through a multi-agent conversational AI tool simulating patient encounters. Launching in December 2024, our pilot will collect feedback to refine key components of the patient encounter, such as the history-taking and differential diagnosis, and optimize the personalized preceptor feedback given to learners. This performance feedback aligns with clinical training goals and program-specific curricular objectives identified in Year 3 Academic Half Days. With funding, we aim to explore integration with UBC’s systems, running a cost model comparison between our current AI stack and UBC’s. Additionally, we plan to develop a model to estimate the cost and effort of adapting the tool to new clinical cases, creating a scalable framework across clerkships. Long-term, we aim to build an intuitive interface enabling faculty to independently design and implement clinical cases tailored to educational objectives. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Small TLEF |
| Year 1: Principal Investigator | Justin Student |
| Year 1: Funded Amount | 35,718 |
| Year 1: Team Members | Justin Student, Sr. Instructional Designer and Program Manager, Educational Technology, Faculty of Medicine |