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临床试验/NCT07746648
NCT07746648尚未招募不适用

Artificial Intelligence (AI) Skilled Nursing Facilities (SNF) Discharge QI Project

NYU Langone Health1 个研究点 分布在 1 个国家目标入组 30 人开始时间: 2026年9月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
30
试验地点
1
主要终点
Length of hospital stay

研究概览

简要总结

This study evaluates an AI-supported workflow tool designed to improve discharge planning for hospitalized medicine patients discharged to skilled nursing facilities (SNFs). The intervention displays a patient list column showing SNF discharge risk as High, Intermediate, or Low, along with a hover bubble containing AI-generated summaries of the history and physical note to provide relevant clinical context. The control condition hides the column value.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adult medicine inpatient admission
  • Discharged to a skilled nursing facility
  • Admission occurs during the study period

排除标准

  • Age younger than 18 years
  • Not admitted to a medicine inpatient service
  • Not discharged to a skilled nursing facility
  • Admission occurs outside the study period

研究组 & 干预措施

Usual Care

Adult inpatients discharged to a SNF with a column that displays SNF discharge risk and provides AI-generated clinical summary information to support discharge planning.

AI SNF discharge risk display

The SNF discharge risk column value is hidden from end users.

结局指标

主要结局

Length of hospital stay

时间窗: Up to Approximately Month 5

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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