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Completed NCT04965480

Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

Conditions: Language, Geriatric, Older, Electronic Health Record

Sex: All

Ages: 75 Years – N/A

Healthy volunteers: No

Enrollment: 102

Sponsor: Centre Hospitalier Universitaire, Amiens

Location: CHU Amiens Picardie Amiens Picardie

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.

Eligibility Criteria

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

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT04965480). StuddyBuddy aggregates publicly available trial information.