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.
Hospital de Granollers
1,200 participants
Jan 15, 2025
OBSERVATIONAL
Conditions
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
Inclusion Criteria1
- Elective colorectal resection
Exclusion Criteria3
- Emergency surgery
- Infection present at operation
- Previous intestinal stoma
Interventions
Diagnosis of SSI by manual system in colorectal surgery procedures enrolled in the SSI surveillance programme.
Locations(1)
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NCT07130656