An observational study in Language, Geriatric and Older, sponsored by Centre Hospitalier Universitaire, Amiens. Completed at 1 site in France. Open to participants aged 75 Years and older. Per ClinicalTrials.gov, last updated 2026-06-12.
Sponsored by Centre Hospitalier Universitaire, Amiens · Observational
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.
243 studies on the registry are indexed under Language; 76 are open to participants now.
This study's enrollment of 102 is below the median of 115 across 77 observational studies indexed under Language.
Browse Language studies →Centre Hospitalier Universitaire, Amiens is the lead sponsor of 586 studies on the registry; 185 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Patients aged >75 years, hospitalized in AGU in Amiens University Hopsital
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Exclusion Criteria:
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU
AGU is acute geriatric units
Time frame: 15 days
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU
AGU is acute geriatric units
Time frame: one day
Plan to share: No
No publications or documents are linked to this record.
Ran from Aug 2021 to primary completion in Apr 2022, 8 months.
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This study is completed, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.
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Centre Hospitalier Universitaire, Amiens →