Verification and Application Study of Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management: A Randomized Controlled Study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- expert overall scores
研究概览
简要总结
This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.
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
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Work experience of 3 years or more;
- •Able to complete the case assessment tasks required by the study;
- •Have a practicing doctor qualification;
- •Work at a township health center or community health service center;
- •Voluntarily participate in the study and sign the informed consent form.
排除标准
- 未提供
结局指标
主要结局
expert overall scores
时间窗: through study completion, an average of 3 months.
A total of 200 cases (50 each of coronary heart disease, atrial fibrillation, heart failure, and stroke) were grouped by disease type and independently evaluated in a blinded manner by three subspecialty experts. For each case, the two management plans were anonymized in the same way and then randomly labeled by a computer as Plan A and Plan B. Experts could only view the anonymized case information and the two corresponding anonymized management plans. They rated them using a Likert scale on several aspects: accuracy of condition assessment, reasonableness of test recommendations, reasonableness of treatment plans, appropriateness of management choices, scientific nature of patient education content, feasibility at the primary care level, overall clinical quality. Experts were instructed to rank the seven dimensions from lowest to highest quality. These ordinal rankings were then converted into standardized scores of 1 to 5. Higher scores mean better.
次要结局
- accuracy of condition assessment(through study completion, an average of 3 months.)
- reasonableness of test recommendations(through study completion, an average of 3 months.)
- reasonableness of treatment plans(through study completion, an average of 3 months.)
- appropriateness of management choices(through study completion, an average of 3 months.)
- scientific nature of patient education content(through study completion, an average of 3 months.)
- feasibility at the primary care level(through study completion, an average of 3 months.)
- the overall clinical quality(through study completion, an average of 3 months.)
- risk advice(through study completion, an average of 3 months.)
- Any diagnostic or treatment information missing(through study completion, an average of 3 months.)
- feedback regarding the use of medical LLM by primary care physicians(through study completion, an average of 3 months.)