Objective: To improve the efficiency of TCM clinical teaching by standardizing patient robot application and clinical training and assessment. Methods: A total of 100 students majoring in traditional Chinese medicine who practiced in Zhongshan Hospital of Traditional Chinese Medicine from July 1, 2022 to June 30, 2023 were included in the study and randomly divided into teaching test group and traditional teaching control group. Traditional teaching takes teachers out for outpatient consultation, and the learning test group adds standardized patient robot training on the basis of traditional teaching. Traditional Chinese medicine (TCM) treatment and diagnosis assessment were conducted every 6 days for a total of 5 weeks. Using repeated measurement variance and generalized estimation equation, the intra-group and inter-group studies were conducted to analyze the difference of teaching achievement between the two groups. Results: The mean score of the control group was 62.19, and the standard deviation was 10.71, while the mean score of the experimental group was 69.19, and the parity difference was 16.45. According to the inter-group effect analysis, the significance P-value of different teaching groups was 0.000***, showing a significant level and there was a main effect. According to the generalized estimation equation analysis, the significance P-value of the gender item was 0.054. No significance was shown, OR 95% CI was (-2.445–0.054), and the P-value of group significance was 0.000***, showing significance at level, OR 95% CI was (5.797–8.356). The marginal effect of group was 7.08, and the marginal effect of gender was -1.21. Conclusion: The combination of high and new technologies such as artificial intelligence, deep learning and robot with modern medical teaching mode can promote the development of digitalization and technology in the field of modern medical education, and can be applied and promoted in the field of medical education.