Abstract: Objective To explore the application of the intelligent information management platform for a medical simulation center in the quality control of teaching and training. Methods A questionnaire survey and performance analysis was employed. Shanghai East Hospital, Tongji University initiated the design and development of the management platform in 2020 to implement comprehensive management. A total of 192 residents and 273 instructors from the Medical Simulation Teaching and Research Office from July 2020 to July 2023 were enrolled in the study. A self-designed questionnaire was used to assess their usage of the management platform, and the pass rates of the residents in the Medical Practitioner Examination and residency training final examinations, as well as their annual assessment scores, were compared. Data were analyzed with ANOVA and chi-square tests. Results Both residents and instructors reported high satisfaction with the management of facilities, teaching equipment, simulation models, courses, and scheduling. For example, satisfaction with facility management was 100.0%(192/192) among residents and 99.6%(272/273) among instructors (P=0.401). The third-year annual assessment scores of the 2020 cohort of residents (post-implementation) were higher than those in the first year (pre-implementation): (90.29±6.38) vs. (87.88±7.81), P=0.018. The pass rate of the Medical Practitioner Examination and Comprehensive Graduation Examination among residents post-implementation of the management platform (2021) was higher than that pre-implementation of the management platform (2020): 97.3%(72/74) vs. 88.9%(56/63), P=0.048; 100.0%(78/78) vs. 94.6%(70/74), P=0.037. Conclusions The management platform was well-received by both residents and instructors, contributed to improving annual assessment scores and Medical Practitioner Examination and Comprehensive Graduation Examination pass rates, and effectively enhanced the efficiency and quality of residency training management.

Key words: Clinical medicine, Medical simulation center construction, Information management platform, Artificial intelligence, Training quality