Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 102
- 试验地点
- 2
- 主要终点
- Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU
研究概览
简要总结
Delayed discharge in geriatric units is a health and economic issue. There is no algorithm to automatically measure the appropriateness of admissions or hospital days. 30% of the days of hospitalization in acute geriatric units (AGU) are not appropriate. Waiting for a transfer to a follow-up care and rehabilitation unit (SSR) is the main risk factor for inappropriate days. The purpose of this project is to develop an algorithm using natural language processing to predict the appropriateness of an admission to UGA, or a day at UGA.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 75 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •age : >75 years
- •patient hospitalized in an AGU
排除标准
- •refusal to participate
结局指标
主要结局
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU
时间窗: 15 days
AGU is acute geriatric units
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU
时间窗: one day
AGU is acute geriatric units
次要结局
未报告次要终点