| Title | Building deep AI-integrated pedagogy using the aEHR |
|---|---|
| Faculty/College/Unit | Pharmaceutical Sciences |
| Status | Active |
| Duration | 2 Year |
| Initiation | 04/01/2025 |
| Project Summary | Cases are a foundational component of health education, providing simulated learning for students to navigate complex care situations. The use of artificial intelligence (AI) offers instructors a safe and efficient way to create new cases, add AI-chat, minimize human biases, and increase case diversity. The goal of this project is to build two AI-enabled tools embedded in the Academic Electronic Health Record (aEHR): a case generator and a patient chatbot. A case generator will allow instructors near-instant development of cases according to desired parameters (e.g. complexity, length, clinical features), while a patient chatbot brings a realistic patient-voice into the learning activity for students. The aEHR is a free-to-use patient chart tool currently used at UBC for case-based learning. The AI infrastructure will include two new databases connected to the aEHR: a large language model (the AI) and a retrieval augmentation generation (RAG) database (the sensitive instructor-specific teaching material). |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Small TLEF |
| Year 1: Principal Investigator | Jason Min |
| Year 1: Funded Amount | 27,500 |
| Year 1: Team Members | Jason Min, Associate Professor of Teaching, Faculty of Pharmaceutical Sciences |