The goal of this clinical trial is to evaluate whether AI-based simulated patient training can improve clinical reasoning and history-taking skills in medical students. The main questions it aims to answer is: Does GPT-based simulated patient training improve medical students' history-taking skills compared to traditional role-playing methods? Participants will: Participants in the intervention group perform medical history-taking conversations with an AI-simulated patient. Receive AI-generated structured feedback on their performance. The control group participated in role-playing exercises with instructors who acted as patients, receiving feedback after each session. Complete standardized assessments to evaluate clinical reasoning and decision-making skills.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
56
GPT-simulated patients
traditional role-playing
The Second Affiliated Hospital of Anhui Medical University
Hefei, Anhui, China
structured clinical examination to measure students' abilities in history taking
Pre and Post Training: This primary endpoint measures improvements in students' clinical skills using a structured clinical examination conducted both before and after the training. The total score is out of 100 points, aggregated from four components: History Collection (30 points): Assesses the level of detail in the chief complaint and symptoms (10 points), the ability to understand and identify patient information (10 points), and the appropriateness and logic of follow-up questions (10 points). Clinical Reasoning (30 points): Evaluates the thoroughness of diagnostic thinking (15 points) and efficiency in processing information and forming clinical judgments (15 points). Communication Skills (20 points): Includes interaction with patients (10 points) and clarity of information delivery (10 points). Professional Behavior (20 points): Measures adherence to clinical procedural norms (10 points) and professional attitude towards patients (1
Time frame: From enrollment to the end of treatment at 4 weeks
Training Feedback Assessment
Training Feedback Assessment Measurement Tool: Structured Questionnaire on a 5-point Likert scale. Components Assessed: * Post-class self-directed learning. * Enthusiasm for learning. * Communication and feedback skills. * Expressiveness. * Interview logical reasoning ability. * Anxiety levels during the interview process. Description: This secondary endpoint collects feedback on the training methods' effectiveness through a structured questionnaire. Each aspect is rated on a 5-point Likert scale, where 1 indicates 'strongly disagree' and 5 indicates 'strongly agree'.
Time frame: From enrollment to the end of treatment at 4 weeks
Student Satisfaction Survey
Measurement Tool: Satisfaction Questionnaire on a 5-point Likert scale. Components Assessed: * Diversity of diseases encountered during training. * Naturalness of patient interaction. * Usability of the training methods. * Likelihood of recommending the training to peers. Description: This secondary endpoint evaluates student satisfaction concerning various aspects of the training experience. The questionnaire assesses each factor on a 5-point Likert scale, where 1 is 'very dissatisfied' and 5 is 'very satisfied'.
Time frame: From enrollment to the end of treatment at 4 weeks
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