Feasibility Study of Using GPT for History-taking Training in Medical Education
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 56
- 试验地点
- 1
- 主要终点
- structured clinical examination to measure students' abilities in history taking
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Single (Outcomes Assessor)
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Medical education enrollment:
- •Students enrolled in a medical or health-related professional program.
- •Clinical coursework completion:
- •Students who have completed basic clinical coursework, including foundational topics in patient communication and clinical reasoning.
- •Participants aged 18-30 years to reflect typical medical student demographics.
- •Language proficiency:
- •Adequate proficiency in the language used for the study (e.g., English) to effectively interact with the AI-simulated patient and understand feedback.
- •Willingness and availability:
- •Students who provide informed consent and are willing to participate in all required study activities, including training sessions and assessments.
- •Access to technology:
- •Ability to access and use the necessary technology, such as a computer and internet connection, to complete the simulated patient interactions.
排除标准
- •Non-medical background:
- •Students not enrolled in medical or related health professions programs. Students in early years of study who have not completed basic clinical coursework.
- •Technical limitations:
- •Inability to access or use the required technology (e.g., computer or online platforms).
- •Time constraints:
- •Inability to complete all required training and assessments within the study timeline.
- •Language barriers:
- •Insufficient proficiency in the language used for the study (e.g., English) to effectively communicate or understand the simulated patient interactions.
- •Health-related factors:
- •Conditions that may impair participation, such as significant hearing or vision impairment, or severe psychological conditions.
- •Prior participation in similar studies:
- •Students who have already participated in studies involving similar AI-based simulated patient training or feedback.
结局指标
主要结局
structured clinical examination to measure students' abilities in history taking
时间窗: From enrollment to the end of treatment at 4 weeks
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
次要结局
- Training Feedback Assessment(From enrollment to the end of treatment at 4 weeks)
- Student Satisfaction Survey(From enrollment to the end of treatment at 4 weeks)
研究者
zhen wang
physician
The Second Hospital of Anhui Medical University