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Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing
Sponsor: Centre Hospitalier Universitaire, Amiens
Summary
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.
Key Details
Gender
All
Age Range
75 Years - Any
Study Type
OBSERVATIONAL
Enrollment
102
Start Date
2021-08-01
Completion Date
2022-04-07
Last Updated
2026-06-12
Healthy Volunteers
No
Locations (1)
CHU Amiens Picardie
Amiens, Picardie, France