Application of Artificial Intelligence in Hypertension Pharmacotherapy Education: A Comparative Study of the GPT System and Traditional Teaching Methods
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 52
- 试验地点
- 1
- 主要终点
- structured theoretical exam scores
研究概览
简要总结
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.
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
- None
入排标准
- 年龄范围
- 18 Years 至 30 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Graduate or regulatory trainee, currently rotating in cardiology and willing to participate in research.
- •Age between 18-30 years old, gender not limited.
- •No specialized training experience in hypertension diagnosis and treatment, only possessing basic medical theoretical knowledge.
- •Able to accept a 4-week teaching intervention (2 hours of study per week).
- •Sign the informed consent form and be aware of the research purpose and process.
排除标准
- •Graduate students or trained interns who have received specialized training in hypertension medication treatment.
- •Students unable to complete the full course of study (e.g., rotations shorter than four weeks or potential mid-course withdrawal).
- •Unable to consistently participate in educational interventions (e.g., conflicts with study schedule).
- •Have severe physical or mental health issues that may affect the learning process.
- •Have language comprehension barriers or cognitive impairments, making it difficult to complete learning tasks.
结局指标
主要结局
structured theoretical exam scores
时间窗: From enrollment to the end of treatment at 4 weeks
Structured Theoretical Exam Scores - Immediate and One-Month Follow-Up: This outcome measures the effectiveness of teaching hypertension management. Students take a structured theoretical exam immediately after the training and again one month later to assess knowledge retention. The exam covers hypertension pathophysiology, risk factors, diagnostics, and treatments. Scores range from 0 to 100, with higher scores indicating better knowledge acquisition and retention.
Clinical Case Test Scores on Hypertension
时间窗: From enrollment to the end of treatment at 4 weeks
Clinical Case Test Scores on Hypertension - Immediate and One-Month Follow-Up:This outcome measures how well students apply theoretical knowledge to practical clinical scenarios. Tests are administered immediately after training and one month later, involving clinical simulations where students diagnose hypertension and develop treatment plans. Scores range from 0 to 100, with higher scores indicating better clinical reasoning and application of knowledge.
次要结局
- Teaching Satisfaction Assessment(From enrollment to the end of treatment at 4 weeks)
- Technology Acceptance Model(From enrollment to the end of treatment at 4 weeks)
- Cognitive Load Index (CLI)(From enrollment to the end of treatment at 4 weeks)
- Mood Elevation Scale(From enrollment to the end of treatment at 4 weeks)
研究者
zhen wang
physician-in-charge
The Second Hospital of Anhui Medical University