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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHospital de Granollers

About this trial

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 criteria

This trial does not accept healthy volunteers

Qualifiers

Elective colorectal resection

Disqualifiers

Emergency surgery

Infection present at operation

Previous intestinal stoma

Trial population

Patients undergoing elective colorectal surgery in Hospital General de Granollers in the period 2010-2023

Trial design

Design model

Cohort

Time perspective

Retrospective

Treatments tested in this trial

  • Diagnosis of SSI

    Diagnostic test

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

Treatment groups

1,200 Participants
are divided into 2 treatment groups
Group A: Patients assessed for SSI using the standard manual surveillance method1 intervention
Group B: Patients assessed for SSI by an algorithm1 intervention

Trial outcomes

Primary outcomes

1

Rate of surgical site infection

Rate of Surgical site infection according to the definitions of the CDC-NHSN (Centers for Disease Control and Prevention-National Healthcare Safety Network)

Time frame
30 days

Secondary outcomes

Other outcomes

Sponsors and contacts

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