Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment

Xiuhui Cao

doi:10.47297/taposatWSP2633-456929.20250611

PDF
Export
Share
Collection
Album

Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment

Volume 6, Issue 11

Views: 0 Downloads: 0

Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment
Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment
Geely University of China, Chengdu, Sichuan, 641423, China
Vol. 6, Issue 11, Pages: 148-151(2025)
Published：30 November 2025
DOI：10.47297/taposatWSP2633-456929.20250611
Accepted：

Scan QR Code

Cao Xiuhui.Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment[J].Theory and Practice of Science and Technology,2025,06(11):148-151.
DOI：

Cao Xiuhui.Research Progress on a Generative AI-Powered Clinical Reasoning Training Model for Rehabilitation Assessment[J].Theory and Practice of Science and Technology,2025,06(11):148-151. DOI： 10.47297/taposatWSP2633-456929.20250611.

摘要

Abstract

Clinical reasoning competence is the core professional capability of rehabilitation therapists. Traditional training models are plagued by issues such as inadequate standardization

scalability challenges

and delayed feedback—problems that are particularly acute in private universities due to shortages of dual-qualified faculty and limited practical training resources. This paper proposes a "one-core

three-pillars" clinical reasoning training model for rehabilitation assessment based on generative AI

leveraging the open-source DeepSeek-R1 model as its technical foundation. Integrated into the practical teaching workflow of rehabilitation therapy programs

the model comprises three core functional modules: contradictory case generation

virtual supervisor inquiry

and competency profile diagnosis. A "three-dimension

six-index" evaluation system was constructed

and a longitudinal follow-up study was conducted to validate the model's effectiveness. The research findings aim to provide a low-cost

replicable AI-enabled solution for rehabilitation education in private universities

enrich the theoretical and practical framework of clinical reasoning training

and offer technical support for the standardized training of rehabilitation professionals in primary healthcare institutions.

关键词

Keywords

references

Hanna M, Yana S. Stench of Errors or the Shine of Potential: The Challenge of (Ir)Responsible Use of ChatGPT in Speech-Language Pathology. Int J Lang Commun Disord. 2025 Jul-Aug;60(4):e70088.

Hui Z, Zewu Z, Jiao H, Yu C. Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education. BMC Med Educ. 2025 Jan 11;25(1):50.

Lindbäck Y, Schröder K, Engström T, Valeskog K, Sonesson S. Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study. BMC Med Educ. 2025 Apr 24;25(1):603.

Chen J, Miao C. DeepSeek Deployed in 90 Chinese Tertiary Hospitals: How Artificial Intelligence Is Transforming Clinical Practice. J Med Syst. 2025 Apr 24;49(1):53.

Moëll B, Sand Aronsson F, Akbar S. Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1. Front Artif Intell. 2025 Jun 18;8:1616145.

Bicknell BT, Butler D, Whalen S, Ricks J, Dixon CJ, Clark AB, Spaedy O, Skelton A, Edupuganti N, Dzubinski L, Tate H, Dyess G, Lindeman B, Lehmann LS. ChatGPT-4 Omni Performance in USMLE Disciplines and Clinical Skills: Comparative Analysis. JMIR Med Educ. 2024 Nov 6;10:e63430.

Tseng LW, Lu YC, Tseng LC, Chen YC, Chen HY. Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study. JMIR Med Educ. 2025 Mar 19;11:e58897.

Wang YL, Yan TB. Rehabilitation Assessment [M]. 3rd ed. Beijing: People's Medical Publishing House, 2022: 15-28.

Chinese Society of Physical Medicine and Rehabilitation. Training Syllabus for Rehabilitation Therapists (Trial) [J]. Chinese Journal of Physical Medicine and Rehabilitation, 2021, 43 (5): 385-389.

Higher Education Teaching Steering Committee of the Ministry of Education. National Standards for Teaching Quality of Undergraduate Majors in General Higher Education (Rehabilitation Therapy Major) [S]. Beijing: Higher Education Press, 2018.

Sallam M. ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare (Basel). 2023 Mar 19;11(6):887.

Supe A, Shah C. Artificial Intelligence in Health Profession Education. Indian Pediatr. 2025 Sep;62(9):699-702.

Hurst JH, Barrett KJ, Kelly MS, Staples BB, McGann KA, Cunningham CK, Reed AM, Gbadegesin RA, Permar SR. Cultivating Research Skills During Clinical Training to Promote Pediatric-Scientist Development. Pediatrics. 2019 Aug;144(2):e20190745.

Li XJ, Chen LD. Current status and development countermeasures of rehabilitation therapy education in China [J]. Chinese Journal of Rehabilitation Medicine, 2020, 35 (8): 897-900.

Contel F, Cusi A. Investigating the role of ChatGPT in supporting metacognitive processes during problem-solving activities[J]. Digital Experiences in Mathematics Education, 2025, 11(1): 167-191.

Zhang T, Zhao J. Stroke Rehabilitation Assessment and Clinical Application [M]. Beijing: Science Press, 2023: 45-60.

Li JJ, Zhou MW. Orthopedic Rehabilitation Assessment and Treatment Technology [M]. 5th ed. Beijing: People's Military Medical Press, 2021:78-92.

Yan TB. Practical Guidance for Rehabilitation Assessment [M]. Beijing: People's Medical Publishing House, 2023: 12-25.

Wang NH, Huang Z. Methodology of Rehabilitation Medicine Assessment [M]. Beijing: Peking University Medical Press, 2022: 156-168.

Chen LD, Tao J. Exploration and practice of clinical reasoning teaching model for rehabilitation therapy major [J]. Chinese Journal of Rehabilitation Medicine, 2022, 37 (4): 498-501.

Liu H, Zhang ZQ. Current status and prospects of artificial intelligence in medical education [J]. Chinese Journal of Medical Education, 2023,43 (2): 81-85.

Wang MG, Li L. Dilemmas and countermeasures in talent training of rehabilitation therapy major in private universities [J]. China Higher Medical Education, 2021 (6): 29-30.

Silver JK, Dodurgali MR, Gavini N. Artificial Intelligence in Medical Education and Mentoring in Rehabilitation Medicine. Am J Phys Med Rehabil. 2024 Nov 1;103(11):1039-1044.

Arbel Y, Gimmon Y, Shmueli L. Evaluating the Potential of Large Language Models for Vestibular Rehabilitation Education: A Comparison of ChatGPT, Google Gemini, and Clinicians. Phys Ther. 2025 Apr 2;105(4):pzaf010.

Zhang L, Wang Q. Research progress in cultivating clinical reasoning ability of rehabilitation therapy professionals [J]. Chinese Journal of Rehabilitation Theory and Practice, 2023, 29 (7): 825-830.

Liu W, Chen J. The impact of dual-qualified teacher team construction on the quality of rehabilitation education [J]. Chinese Journal of Medical Education Research, 2022, 21 (8): 953-956.

Ergezen Sahin G, Aras Bayram G, Sanchez Sierra A, Akdemir S, Kurc D, Tarakci D, Tunali AN. Effects of artificial intelligence based physiotherapy educational approach in developing clinical reasoning skills: a randomized controlled trial. BMC Med Educ. 2025 Oct 9;25(1):1378.

Zhao L, Li N. Exploration on the application of lightweight AI technology in teaching of private universities [J]. China Education Informatization, 2023 (12): 68-72.

Alert me when the article has been cited

Submit

Research on New Applications of Generative AI in the Supply Chain Field

Application of AI Technology in Film and Television Audio Production

Related Author

Zhuyao Tang School of Logistics Engineering, Shanghai Maritime University

Lingzi Li Communication University of China, Nanjing, Radio and Television College

Qingzhong Feng Communication University of China, Nanjing, Radio and Television College

Related Institution

School of Logistics Engineering, Shanghai Maritime University

Communication University of China, Nanjing, Radio and Television College

⁰