Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

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.

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Key information

Conditions

Language Behavior Communication Electronic Health Record Geriatric Older

Age range

75 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

CHU Amiens Picardie

Amiens, Picardie, 80054, France

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

age : >75 years
patient hospitalized in an AGU

Exclusion criteria

refusal to participate

Treatment and study plan

Primary outcomes

Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU

Time frame: 15 days

AGU is acute geriatric units
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU

Time frame: one day

AGU is acute geriatric units

Sponsors and collaborators

Lead sponsor

Centre Hospitalier Universitaire, Amiens

Other

Registry information

Acronym: COLATERAL

Important dates

Study start: 2021
Primary completion: 2022
Study completion: 2022
First posted: Jul 16, 2021
Registry last updated: Jun 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed