Detecting Delayed Discharge in Acute Geriatric Unit Using... | NCT04965480

Studies
Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

NCT04965480

Sponsor

Centre Hospitalier Universitaire, Amiens

Status

Completed

Last Update Posted

Jun 12, 2026Actual

Enrollment

102Actual

Phase

Not provided

Conditions

Language
Geriatric
Older
Electronic Health Record

Interventions

Not provided

Countries

France

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

Jun 2026

Overall Recruitment Status or Expanded Access Status

Completed

Last Known Status

Not provided

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

Aug 1, 2021Actual

Primary Completion Date

Apr 7, 2022Actual

Completion Date

Apr 7, 2022Actual

First Submitted Date

Jul 8, 2021

First Submission Date that Met QC Criteria

Jul 8, 2021

First Posted Date

Jul 16, 2021Actual

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Jun 11, 2026

Last Update Posted Date

Jun 12, 2026Actual

Oversight Module

Has Data Monitoring Committee (DMC)

Is FDA Regulated Drug

Is FDA Regulated Device

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

Brief 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.

Detailed Description

Not provided

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Target Follow-Up Duration

Not provided

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

102Actual

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU	AGU is acute geriatric units	15 days
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU	AGU is acute geriatric units	one day

Secondary Outcomes

Not provided

Other Outcomes

Not provided

Eligibility Module

Eligibility Criteria

Inclusion Criteria:

age : >75 years
patient hospitalized in an AGU

Exclusion Criteria:

refusal to participate

Accepts Healthy Volunteers

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

75 Years

Maximum Age

Not provided

Standard Ages

Older Adult

Study Population

Patients aged >75 years, hospitalized in AGU in Amiens University Hopsital

Sampling Method

Non-Probability Sample

Contacts/Locations Module

Central Contacts

Not provided

Overall Officials

Not provided

Locations

Facility	Status	City	State	ZIP	Country	Contacts
CHU Amiens Picardie		Amiens	Picardie	80054	France

IPD Sharing Statement Module

Plan to Share IPD

Description

Not provided

Types

Not provided

Time Frame

Not provided

Access Criteria

Not provided

URL

Not provided

ID	Term
D003142	Communication
D001519	Behavior