Geriatric Clinical Trial
— COLATERALOfficial title:
Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing
NCT number | NCT04965480 |
Other study ID # | PI2021_843_0153 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 1, 2021 |
Est. completion date | July 2024 |
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.
Status | Recruiting |
Enrollment | 300 |
Est. completion date | July 2024 |
Est. primary completion date | September 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 75 Years and older |
Eligibility | Inclusion Criteria: - age : >75 years - patient hospitalized in an AGU Exclusion Criteria: - refusal to participate |
Country | Name | City | State |
---|---|---|---|
France | CHU Amiens Picardie | Amiens | Picardie |
Lead Sponsor | Collaborator |
---|---|
Centre Hospitalier Universitaire, Amiens |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU | AGU is acute geriatric units | 15 days | |
Primary | Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU | AGU is acute geriatric units | one day |
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