AI detection of deep surgical site infections after elective colorectal surgery
A Novel AI Algorithm With Enhanced Accuracy for Surveillance of Deep Surgical Site Infections After Elective Colorectal Surgery. A Diagnostic Accuracy Study.
It will test an AI algorithm that scans medical records to find surgical site infections in people who have planned colorectal surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1200 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Hospital de Granollers Academic / other |
| Locations | 1 site (Granollers, Barcelona) |
| Trial ID | NCT07130656 on ClinicalTrials.gov |
What this trial studies
This observational study used a cohort of elective colorectal resection patients previously screened within a nationwide healthcare-associated infection surveillance system to measure algorithm performance. The algorithm searches clinical notes, microbiology reports, diagnosis and procedure codes to detect surgical site infections at three anatomical levels. Surveillance covered the typical post-operative window (up to 30–90 days) to capture infections after discharge. Performance was compared to conventional manual surveillance using standard diagnostic criteria to report sensitivity, specificity, and predictive values.
Who should consider this trial
Good fit: Ideal candidates are people who undergo elective colorectal resection with no infection at the time of surgery and no prior intestinal stoma.
Not a fit: Patients who had emergency surgery, had an infection present at the time of operation, have a previous intestinal stoma, are treated outside the participating hospital, or lack adequate follow-up are unlikely to benefit.
Why it matters
Potential benefit: If successful, the algorithm could speed up surveillance, reduce manual workload for infection control teams, and help identify infections earlier to improve patient safety.
How similar studies have performed: Previous efforts using natural language processing and machine learning for SSI surveillance have shown promising but variable accuracy, so this approach builds on emerging but not yet universally proven methods.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Elective colorectal resection Exclusion Criteria: * Emergency surgery * Infection present at operation * Previous intestinal stoma
Where this trial is running
Granollers, Barcelona
- Hospital General de Granollers — Granollers, Barcelona, Spain (Recruiting)
Study contacts
- Study coordinator: Josep M Badia, MD, PhD
- Email: jmbadiaperez@gmail.com
- Phone: 670702099
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.