LanguageCOLATERALNCT04965480
Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing
An observational study of Language and Geriatric, run by Centre Hospitalier Universitaire, Amiens at 1 site in France.
Trial 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. Read more about this study
- Who is it for?
- Ages 75 years and older
- How many people
- 102 participants
- Where
- 1 siteFrance
- Study dates
- 1 Aug 2021to 7 Apr 2022
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 75 years and older
- All sexes
- No healthy volunteers
- Older adult
Study population: Patients aged >75 years, hospitalized in AGU in Amiens University Hopsital
Who may be able to join
- age : >75 years
- patient hospitalized in an AGU
Who cannot join
- refusal to participate
Trial locations and contacts
1 site in 1 country.
About this study
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
- Keywords
- Natural Language Process, appropriate stay, acute geriatric unit, older, Electronic Health Record.
- Medical subject headings
- Language
What is being measured
The primary outcome is the main question the study is designed to answer.
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU
AGU is acute geriatric units
Measured: 15 days
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission for one day in AGU
AGU is acute geriatric units
Measured: one day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Jul 2021
- Study start1 Aug 2021
- Primary completion7 Apr 2022
- Study completion7 Apr 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for LanguageStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case only
- Time perspective
- Retrospective
- Enrolment
- 102 participants (actual)
Sponsor and investigators
- Lead sponsor
- Centre Hospitalier Universitaire, Amiens
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04965480
- Sponsor's protocol ID
- PI2021_843_0153
- Acronym
- COLATERAL
- Status last verified
- Jun 2026
- First submitted
- 8 Jul 2021
- Last updated
- 12 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 12 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing
- ClinicalTrials.gov ID
- NCT04965480
- Acronym / sponsor ID
- COLATERAL / PI2021_843_0153
- Conditions
- Language, Geriatric, Older, Electronic Health Record
- Keywords
- Natural Language Process, appropriate stay, acute geriatric unit, older, Electronic Health Record.
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 102 participants (actual)
- Lead sponsor
- Centre Hospitalier Universitaire, AmiensUniversity, hospital or other
- Study start
- 1 Aug 2021 (actual)
- Primary completion
- 7 Apr 2022 (actual)
- Study completion
- 7 Apr 2022 (actual)
- First posted
- 16 Jul 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Case only
- Time perspective
- Retrospective
Who may qualify
- Ages
- 75 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
- Study population
- Patients aged >75 years, hospitalized in AGU in Amiens University Hopsital
Key inclusion criteria (2 listed)
- age : >75 years
- patient hospitalized in an AGU
Key exclusion criteria (1 listed)
- refusal to participate
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
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
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 12 Jun 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Language and Geriatric, run by Centre Hospitalier Universitaire, Amiens at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 12 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Concordance between Appropriateness Evaluation Protocol algorithm prediction result and real admission in AGU (time frame: 15 days). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 12 Jun 2026.