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NCT Number: NCT06626399

ChatGPT-4 for Surgical Site Infection Detection From Electronic Health Records After Colorectal Surgery.

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.

This study aimed to evaluate the ability of ChatGPT-4o to detect surgical site infection at the three anatomical levels.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hospital General de Granollers

Granollers, Barcelona, 08402, Spain

Location status: Recruiting

Location contact

Josep M Badia

CONTACT

[email protected]

670702099

About this study

Healthcare-associated infections (HAIs) have a negative impact on patient health, represent a significant healthcare and economic burden on healthcare systems and are considered the most preventable cause of serious adverse events in hospitalised patients.

Epidemiological surveillance is one of the eight core components of the World Health Organization (WHO) Infection Prevention and Control Programmes. These include surveillance programmes for surgical site infection (SSI), which have proven to be effective in all types of surgery and in a variety of settings.

For a programme to be effective, surveillance for HCAIs must be active, prospective and continuous, comprising a surveillance period up to 30-90 days post-intervention, to cover the high rate of SSIs detected after discharge.

At present, infection control teams perform a manual, prospective, time-consuming and almost artisanal work, which should make a transition to automated or semi-automated surveillance that leverages the possibilities offered by today's information technology.

The evolution of surveillance systems should benefit from this new possibilities offered by artificial intelligence, allowing automated detection of suspected SSI adverse events from clinical course text, microbiology reports or coding of diagnoses, procedures, complications and readmissions.

This study aims to evaluate the ability of ChatGPT to detect surgical site infections (SSI) at the three anatomical levels described by the CDC.

The study will retrospectively compare the results of the AI chatbot in diagnosing SSI, trained using the US CDC definition criteria, with a large cohort of elective colorectal surgery patients already evaluated through a nationwide nosocomial infection surveillance system, which will be the comparative gold standard.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Elective colorectal resection

Exclusion criteria

  • Emergency surgery
  • Infection present at operation
  • Previous intestinal stoma

Treatment and study plan

Diagnosis of SSI

Diagnostic Test

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

Primary outcomes

  1. Rate of surgical site infection

    Time frame: 30 days

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

Study contacts

Contact information is provided by the study sponsor or research team.

Josep Badia, MD, PhD

CONTACT

[email protected]

670702099

Sponsors and collaborators

Lead sponsor

Hospital de Granollers

Other

Registry information

Official study title

Evaluation of ChatGPT-4 for the Detection of Surgical Site Infections From Electronic Health Records After Colorectal Surgery: A Diagnostic Accuracy Study.

Acronym: Infect-IA-3

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Oct 3, 2024
Registry last updated
Aug 15, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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