Perceptions and Experiences of Senior Medical Students on AI-assisted English doctor-patient Communication: A Qualitative Study Using Open-Ended Questionnaires

DOI

10.2991/978-94-6239-777-4_26How to use a DOI?

Keywords

Artificial intelligence assistant; doctor-patient communication; English speaking; medical education; qualitative study

Abstract

Objective: To explore the learning perceptions, experiences, and needs of senior medical students when using an artificial intelligence (AI) assistant for English speaking practice in doctor-patient communication. Methods: An open-ended questionnaire survey was conducted in March 2026 among 31 senior medical students at a traditional Chinese medicine college in Guangxi Zhuang Autonomous Region, China, who had completed six months of AI-assisted English doctor-patient communication practice. Thematic analysis was employed to analyze the textual data. Results: Three major themes were identified: positive experiences, including enhanced psychological safety, increased practice autonomy, and instant feedback with effective pronunciation correction; major limitations, including inaccurate speech recognition, lack of emotional interaction, and unnatural dialogue rhythm; and future optimization needs, including more realistic clinical scenarios, stratified difficulty levels, and randomized interactivity. Conclusion: The AI assistant demonstrates significant value as a supplementary tool for English doctor-patient communication practice; however, improvements are required in speech recognition fault tolerance, emotional interaction capabilities, and personalized learning pathways.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Junzhao Gu
AU  - Qiuheng Huang
PY  - 2026
DA  - 2026/09/30
TI  - Perceptions and Experiences of Senior Medical Students on AI-assisted English doctor-patient Communication: A Qualitative Study Using Open-Ended Questionnaires
BT  - Proceedings of the 2026 8th International Conference on Economic Management and Cultural Industry (ICEMCI 2026)
PB  - Atlantis Press
SP  - 225
EP  - 233
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-777-4_26
DO  - 10.2991/978-94-6239-777-4_26
ID  - Gu2026
ER  -