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.

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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
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article

AI-Powered Case-Based Approach for Real-World Experiences of Student Interaction and Assessment of Interview Skills

Lydia Thurston, Benjamin D. Stern
Journal of Physical Therapy Education
Big Data and Business Intelligence
article

AI-Powered Case-Based Approach for Real-World Experiences of Student Interaction and Assessment of Interview Skills

Lydia Thurston, Benjamin D. Stern
article en

Abstract

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.

Journal of Physical Therapy Education
Tufts University (US), Instituto Benjamin Constant (BR)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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