The Second Affiliated Hospital of Anhui Medical University

Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management
The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension management plans. It will also evaluate the educational effectiveness and engagement of the GPT-based system. The main questions it aims to answer are:
Does the GPT-based training improve the ability of students to develop effective hypertension management plans compared to traditional methods? How do students perceive the use of the GPT system in their learning process? Researchers will compare the GPT-based training system to traditional teaching methods to see if the innovative AI approach enhances learning outcomes in medical education.
Participants will:
Engage with either the GPT-based system or traditional teaching materials. Visit the educational facility periodically for assessments and feedback sessions.
Keep a diary of their learning experiences, noting any difficulties or advantages they observe in the training method they are assigned.

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.