Training Physiotherapy Students in Clinical Questioning and Reasoning Using AI
Grant Name
Applied Learning and Innovation Grant (ALIGN)Abstract
There are limitations in the use of standardized patients in clinical training of students in terms of cost, availability, flexibility (scenarios used) and scalability. This project aims to train physiotherapy students in clinical questioning and reasoning using AI. The features in this tool consist of: semi-scripted practice conversations (audio) between a physiotherapist and patient to determine a clinical diagnosis using open-ended questions based on given scenarios, a personalized avatar tagged with facial emotions to convey non-verbal language, multiple attempts for each scenario, checklists on content (physiotherapy) and verbal and non-verbal language (communication) provided at the end of each practice session for students to self-evaluate their performance, specifically what questions they missed out in the conversation and were the questions in a logical sequence (clinical reasoning). Each practice session is recorded for students’ and faculty’s review using the students’ webcam. This is a proof-of-concept project which if found feasible, could be scaled up and improved in terms of accuracy and authenticity. Its use in the initial stages of development is mainly for practice and as a supplementary tool.
Click here to view the project closing report (For SIT Staff only)