Abstract:

Objective  To investigate the effect of artificial intelligence-empowered pathophysiology teaching and simulated doctor-patient communication on cultivating medical students' humanistic care competency and clinical thinking skills, so as to provide new ideas for early integrating humanistic care training into basic medical courses. Methods  A total of 150 students from Grade 2023 five-year stomatology at Guizhou Medical University were selected as research subjects and randomly divided into control group (n=74) and experimentel group (n=76). The control group adopted traditional teaching, while the experimental group integrated artificial intelligence-based simulated doctor-patient communication into teaching. Both groups were taught by the same teacher, and the teaching syllabus and content were consistent. The teaching effect was assessed through final exams, case analysis scores, and questionnaires. Results  Compared with the control group, the experimental group showed a significant increase in final exam scores, with a statistically significant difference (Z=-2.160, P<0.05). The number of failed students decreased, and the difference was statistically significant (χ²=7.019, P<0.05). The students in the experimental group performed excellently in simulated doctor-patient communication, and their scores in completeness, communication skills, emotional care, education and prevention, as well as the total score, were all higher than those in the control group, with statistically significant differences (P<0.05). In the questionnaire survey on satisfaction, more than 60% of the students in the experimental group expressed "very satisfied" or "satisfied" with the teaching effect. Conclusion  The artificial intelligence-empowered pathophysiology teaching model with simulated doctor-patient communication can effectively enhance students' humanistic care awareness and clinical thinking skills, and holds positive significance for medical education reform.

Key words:

 , artificial intelligence｜ humanistic care｜ virtual patient｜ pathophysiology