Singapore Institute of Technology
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Development of a Chatbot to Train Physiotherapy Students in Clinical Questioning and Reasoning

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This paper presents the development of a chatbot to train physiotherapy students in clinical questioning and reasoning. The features in this tool consist of semi-scripted practice conversations between a physiotherapist and patient to determine a clinical diagnosis on a given scenario, automated scoring and feedback on their performance, and instructor tracking of students’ progress. Challenges and lessons learned in developing this chatbot are discussed. Experimental evaluation on whether the use of the chatbot improves students’ self-efficacy in clinical questioning and reasoning is ongoing.

Funding

ALIGN grant

History

Journal/Conference/Book title

Proceedings of the IEEE International Conference on Teaching, Assessment, and Learning for Engineering, Hung Hom, Hong Kong, December 4-7, 2022.

Publication date

2022-12

Version

  • Post-print

Rights statement

Lee, C. C., Low, M., Soon, B., Lu L. M., Lee, H. H. & Patel, N. (2022). Development of a chatbot to train physiotherapy students in clinical questioning and reasoning. Proceedings of the IEEE International Conference on Teaching, Assessment, and Learning for Engineering, Hung Hom, Hong Kong, December 4-7, 2022, pp. 477-481. doi: 10.1109/TALE54877.2022.00084. © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Corresponding author

Lee Chien Ching

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