Enhancing medical education with chatbots: a randomized controlled trial on standardized patients for colorectal cancer

Combination of Standardized Patient (SP) and Case Based Learning (CBL) is a common method in medical education, but traditional SP (TSP) may not be conducive to students' mastery of basic medical knowledge and the cultivation of clinical thinking. Therefore, it is necessary to innovate SP to optimize SP combined with CBL teaching method. This study aims to explore the effectiveness of a chatbot utilizing standardized patients based on CBL (CSP-CBL) for colorectal cancer education. 61 medical students who have studied the theoretical knowledge of colorectal cancer were selected as the study objects and randomly divided into experimental group and control group. The experimental group used CSP-CBL, and the control group used traditional SP based on CBL (TSP-CBL). Before the intervention, basic knowledge test and clinical thinking ability assessment scale were used to investigate basic ability. After the intervention, we compared the effectiveness of two teaching methods in training colorectal cancer diagnosis and treatment skills through basic knowledge test, clinical thinking ability assessment scale, course experience questionnaire and client satisfaction questionnaire. The majority of participants were female (62.3%, 38/61), 67.2% (41/61) were in the top 60% of school grades, and only 13.1% (8/61) had a medical background. There were no significant differences between the two groups in terms of demographic and sociological characteristics. There was no difference in pre-test of basic knowledge scores between the two groups (P = 0.489), but the CSP-CBL group scored significantly higher at post-intervention compared to the TSP-CBL group (SMD = -0.629, P