Abstract: Objective To explore the effectiveness of an artificial intelligence (AI)-based training system for improving the quality of major medical record documentation by medical interns and enhancing teaching efficiency. Methods A total of 145 medical interns from Nanjing University Medical School Affiliated Drum Tower Hospital during the 2024-2025 academic year were selected as participants. Using a simple randomization method, they were divided into a study group (n=73) and a control group (n=72). The study group utilized the AI-based training system for medical record documentation, while the control group received traditional teaching methods. Effectiveness was evaluated through pre- and post-internship medical record assessments and satisfaction questionnaires. Data were analyzed using independent samples t-tests and descriptive statistics. Results The post-test total medical record assessment score of the study group(85.73±6.44) was higher than that of the control group (80.10±6.04), P<0.001. Questionnaire results showed that 61 (83.6%) interns in the study group believed the training system improved the quality of their medical record documentation. Among 33 teaching faculty members, 29 (87.9%) reported that the system enhanced teaching efficiency. All 3 educational administrators affirmed the system's role in quality control. Conclusions The AI-based training system, through intelligent templates, real-time feedback, and resource integration, effectively improved the quality of medical record documentation and clinical thinking skills among interns, reduced the teaching burden, and enhanced educational management efficiency. The system provides an innovative solution for the digital transformation of major medical record training for interns.

Key words: Clinical medicine, Interns, Medical record writing, AI-based medical record training system, Teaching effectiveness