NCT04965480

Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 300 (estimated)
• Sponsor: Centre Hospitalier Universitaire, Amiens · Academic / Other
• Sex: All
• Age: 75 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Language
• Geriatric
• Older
• Electronic Health Record

Timeline

• Start date: 2021-07-01
• Primary completion: 2023-09-01
• Completion: 2024-07-01
• First posted: 2021-07-16
• Last updated: 2023-02-10

Locations

1 site across 1 country: France