Effect of Large Language Model in Assisting Discharge Summary Notes Writing for Hospitalized Patients: A Pilot Pragmatic Randomized Controlled Trial
试验速览
- 阶段
- 不适用
- 状态
- 撤回
- 发起方
- Mayo Clinic
- 入组人数
- 1,015
- 试验地点
- 1
- 主要终点
- Rate of patient accrual
研究概览
简要总结
This pilot study aims to assess the feasibility of carrying out a full-scale pragmatic, cluster-randomized controlled trial which will investigate whether discharge summary writing assisted by a large language model (LLM), called CURE (Checker for Unvalidated Response Errors), improves care delivery without adversely impacting patient outcomes.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
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
- •Inclusion Criteria:
- •Adult patients admitted to one of three participating cardiology services at Mayo Clinic in Rochester, MN
排除标准
- •Minor patients (<18)
- •Patients admitted to a hospital service where CURE is not implemented
- •Inclusion Criteria:
- •Clinicians who provide care to randomized patients included in this pilot
- •Exclusion Criteria:
- •Clinicians who do not provide care to randomized patients included in this pilot
研究组 & 干预措施
Intervention
Clinicians who care for patients randomized to intervention will have access to CURE to assist with discharge summary writing.
干预措施: CURE (Other)
Control
Clinicians who care for patients randomized to control will continue with standard practice for discharge summary writing.
结局指标
主要结局
Rate of patient accrual
时间窗: Three months
The first feasibility outcome will be the rate of patient accrual. An accrual of one patient per day will be considered acceptable, i.e., 91 patients discharged from a 91-day period who are appropriately randomized and can be included in the analyses.
次要结局
未报告次要终点