CompletedNCT04965480

Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

Sponsor: Centre Hospitalier Universitaire, Amiens

Trial Details

Condition	Language, Geriatric, Older, Electronic Health Record
Status	Completed
Participants	102
Est. Completion	7 Apr 2022
Last Updated	12 June 2026

Primary Outcome

Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU; Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * age : \>75 years * patient hospitalized in an AGU Exclusion Criteria: * refusal to participate

Trial Sites

Countries

France

View Registry Entry

Related Analysis

French Study Validates AI-Powered Algorithm to Predict Inappropriate Geriatric Unit Admissions — Implications for Australian Healthcare Efficiency

French researchers successfully validated a natural language processing algorithm to predict inappropriate geriatric unit admissions, addressing the critical issue where 30% of hospital days are clinically unnecessary. This breakthrough could revolutionise discharge planning and healthcare efficiency globally.

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