Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English Proficiency and Complex Care Needs
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- Mayo Clinic
- 入组人数
- 1,923
- 试验地点
- 1
- 主要终点
- Number of interpreters
研究概览
简要总结
This is a pragmatic trial that will measure if the use of AI to identify patients with complex care needs and language barriers, as well as active reaching out to clinicians to offer the use of interpreter services will improve the frequency of interpreter use and reduce the time to first interpreter use
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
- 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
- •Adults with limited English proficiency and requiring an interpreter and having complex medical care needs (includes admitted to the ICU, prolonged hospital stay, requiring palliative care)
- •Have research authorization
排除标准
- •- Do not require an interpreter
研究组 & 干预措施
Control
This is the control group who receive standard of care
Intervention
This is the group in units who are identified via AI model and in which interpreter services are actively reaching out to clinicians
干预措施: Complexity score and implementation (Other)
结局指标
主要结局
Number of interpreters
时间窗: 12 months
the number of interpreters used among patients with LEP and complex care needs
次要结局
- Change in time to interpreter use(12 months)
研究者
Brian W. Pickering, M.B., B.Ch.
Principal Investigator
Mayo Clinic
