RecruitingNCT07130656

AI Algorithm for Surveillance 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.

Sponsor

Hospital de Granollers

Enrollment

1,200 participants

Start Date

Jan 15, 2025

Study Type

OBSERVATIONAL

Conditions

Surgical Site Infection

Summary

Epidemiological surveillance is one of the eight core components of the World Health Organization Infection Prevention and Control Programmes. These include surveillance programmes for surgical site infection (SSI). At present, for SSI surveillance, infection control teams perform a manual time-consuming work, which could make a transition to automated surveillance leveraging the new information technology. The aim of this study was to evaluate the performance of a novel algorithm to detect SSI in a cohort of elective colorectal surgery patients who have been previously screened within a nationwide healthcare-associated infection surveillance system.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is testing an AI-based computer program to help detect deep surgical site infections (infections that occur deep in the wound after surgery) in patients who had planned bowel (colorectal) surgery. **You may be eligible if...** - You are undergoing or have undergone planned (elective) colorectal surgery (surgery on the large intestine or rectum) **You may NOT be eligible if...** - Your surgery was an emergency (not planned) - You had an active infection at the time of your operation - You had a previous intestinal stoma (a surgically created opening in the abdomen) Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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