Automatic detection of patients eligible for the RAUC augmented rehabilitation program
Automatic Detection of Eligible Patients to RAUC Protocol (RAUCISABLE): a Retrospective Monocentric Pilot Study on Big-data
This project will see if an AI-driven system can automatically identify adult emergency department patients who are eligible for the RAUC augmented rehabilitation program after digestive emergency surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 300000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Centre Hospitalier Universitaire, Amiens Academic / other |
| Locations | 1 site (Amiens) |
| Trial ID | NCT07037719 on ClinicalTrials.gov |
What this trial studies
RAUCisable is an observational program at CHU Amiens-Picardie that uses hospital records, workflow signals, and potentially connected device data to automatically flag patients who meet inclusion criteria for the RAUC augmented rehabilitation pathway. The effort aims to optimize and speed up patient inclusion without altering clinical care by comparing automated detection against current manual processes. Machine learning models will be refined using local data to improve predictive accuracy for patient management. Participation respects patient data objections and follows applicable privacy safeguards.
Who should consider this trial
Good fit: Ideal candidates are adults (age 17+) who present to the emergency department, especially those undergoing or considered for emergency digestive surgery at CHU Amiens-Picardie.
Not a fit: Patients who object to use of their clinical data, children, those treated outside CHU Amiens-Picardie, or patients undergoing elective (non-emergency) procedures are unlikely to benefit from this project.
Why it matters
Potential benefit: If successful, this could speed identification and enrollment of eligible patients so more people can access optimized postoperative rehabilitation and potentially recover faster.
How similar studies have performed: AI-based patient-identification tools have shown promise in other hospital settings, but their application to emergency digestive surgery inclusion workflows is relatively new.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults (age 17+), all ED patients Exclusion Criteria: * Patients who object to data use
Where this trial is running
Amiens
- CHU Amiens-Picardie — Amiens, France (Recruiting)
Study contacts
- Principal investigator: Jean-Marc REGIMBEAU, MD — CHU Amiens-Picardie
- Study coordinator: Jean-Marc REGIMBEAU, MD
- Email: regimbeau.jean-marc@chu-amiens.fr
- Phone: +33 3 22 08 80 00
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.