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AI Algorithm for Surveillance of Deep Surgical Site Infections After Elective Colorectal Surgery.

NCT07130656 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2025-08-24

No results posted yet for this study

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.

Conditions

  • Surgical Site Infection

Interventions

DIAGNOSTIC_TEST

Diagnosis of SSI

Diagnosis of SSI by manual system in colorectal surgery procedures enrolled in the SSI surveillance programme.

Sponsors & Collaborators

  • Hospital de Granollers

    lead OTHER

Principal Investigators

  • Diana Navarro, PhD · Hospital General de Granollers

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-15
Primary Completion
2025-08-30
Completion
2025-10-30

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07130656 on ClinicalTrials.gov