AI-Powered Case-Based Approach for Real-World Experiences of Student Interaction and Assessment of Interview Skills
This EduGraphic showcases AI-Powered Case-Based Approach for Real-World Experience (AI-CARE) simulating physical therapy patient interviews and assessing student communication skills. It addresses role-playing limitations using AI virtual patients. The process includes extracting patient data, setting patient personalities, conducting interviews, and receiving automated feedback based on ECHOWS, a validated interviewing assessment tool. The case demonstrates how an AI patient engages students, highlights effective communication behaviors, and identifies improvement areas. This provides unlimited practice opportunities and immediate feedback in a safe environment. AI-CARE aligns with health education trends, supported by studies showing improved performance.
Authors
- Lydia Thurston
- Benjamin D. Stern (ORCID: https://orcid.org/0000-0003-3866-6505)
Institutions
- Tufts University (US)
- Instituto Benjamin Constant (BR)
Publication Details
- Journal
- Journal of Physical Therapy Education
- Published
- 2025-09-17
- DOI
- https://doi.org/10.1097/jte.0000000000000444
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00