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Automatic Detection of Eligible Patients to RAUC Protocol (RAUCISABLE)

Automatic Detection of Eligible Patients to RAUC Protocol (RAUCISABLE): a Retrospective Monocentric Pilot Study on Big-data

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07037719
Acronym
RAUCISABLE
Enrollment
300000
Registered
2025-06-25
Start date
2025-01-17
Completion date
2026-01-17
Last updated
2025-06-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Emergency Department Visit

Keywords

Personalized medicine, augmented rehabilitation, artificial intelligence, emergency surgery, digestive surgery

Brief summary

The augmented rehabilitation of emergency surgeries (ARES, RAUC in French) is a research program supported by Amiens-Picardy University Hospital and the University of Picardy Jules Verne. The RAUC program aims to enhance by multiple levers (enhanced recovery programs, artificial intelligence, organizational optimization, connected devices) the management of patients operated for digestive emergency surgery. RAUCisable aims to optimize the inclusion of eligible patients in the RAUC-AMIENS study and improve predictive models for patient management.

Interventions

None listed

Sponsors

Centre Hospitalier Universitaire, Amiens
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults (age 17+), all ED patients

Exclusion criteria

* Patients who object to data use

Design outcomes

Primary

MeasureTime frameDescription
Area Under the ROC Curve30 daysArea Under the ROC Curve (AUROC) for RAUC-AMIENS inclusion

Secondary

MeasureTime frameDescription
AUROC and Mean Absolute Error30 daysAUROC and Mean Absolute Error for continuous prediction of post-surgery LOS.
AUROC of unattended readmission30 daysAUROC of unattended readmission
mean absolute error for readmission prediction30 daysmean absolute error for readmission prediction

Countries

France

Contacts

Primary ContactJean-Marc REGIMBEAU, MD
regimbeau.jean-marc@chu-amiens.fr+33 3 22 08 80 00
Backup ContactEmilien ARNAUD, MD, PhD
arnaud.emilien@chu-amiens.fr03 22 08 80 00

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 5, 2026