A Study on the Evaluation of Artificial Intelligence-Generated Clinical Advisory Outputs in Medical Professional Contexts
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 8
- 试验地点
- 2
- 主要终点
- Physician Response to AI-Generated Medical Content
研究概览
简要总结
This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Other
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age ≥ 18 years old;
- •Licensed physician or medical professional qualified to perform clinical evaluations;
- •Willing to sign informed consent and commit time to participate in the study.
排除标准
- •Unable to dedicate sufficient time to complete the study tasks;
- •Unable or unwilling to understand and follow study instructions.
研究组 & 干预措施
control group
Participants evaluate clinical recommendations generated by Language Model A (LLM-A), with subsequent assessments of communication style characteristics using rating scales.
intervention group
Participants evaluate clinical recommendations generated by Language Model B (LLM-B), followed by evaluations of communication style characteristics through metric instruments.
干预措施: Large Language Model (Other)
结局指标
主要结局
Physician Response to AI-Generated Medical Content
时间窗: Through study completion, an average of 1 week
Participants will rate their level of agreement with AI-generated clinical suggestions presented in simulated medical scenarios. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate better agreement).
次要结局
- Physician Perception of Communication Quality in AI-Generated Content(Through study completion, an average of 1 week)
研究者
Tien Yin Wong
Vice-Provost and Senior Vice-Chancellor
Tsinghua University