A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 3,500
研究概览
简要总结
The goal of this clinical trial is to learn how the use of a large language model (LLM) based tool affects outpatient clinical care in adult patients attending general hospital outpatient clinics. The main questions it aims to answer are:
Does the use of an LLM-based tool affect the efficiency of outpatient visits? Does the use of an LLM-based tool affect the experience of doctors and patients during outpatient care?
Researchers will compare outpatient visits supported by an LLM-based tool to standard outpatient visits without such a tool, to see whether and how the tool influences the care process and the experiences of doctors and patients.
Participants will:
Take part in outpatient visits that may or may not involve an LLM-based tool, depending on their assigned group Complete a short questionnaire about their visit experience after the consultation
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Health Services Research
- 盲法
- Single (Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Licensed physicians providing outpatient consultations at a participating study hospital
- •Expected to complete a sufficient number of outpatient clinic sessions during the study period
- •Provides written informed consent
- •Age 18 years or older
- •Attending an outpatient consultation with a participating doctor
- •Able to interact with the tool using an internet-connected device such as a smartphone
- •Provides written informed consent
排除标准
- •Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction
- •Declines to provide informed consent
研究者
Tien Yin Wong
Professor
Tsinghua University