Ignite Creation Date:
2024-10-26 @ 3:42 PM
Last Modification Date:
2024-10-26 @ 3:42 PM
Study NCT ID:
NCT06626399
Status:
NOT_YET_RECRUITING
Last Update Posted:
None
First Post:
2024-10-02
Brief Title:
ChatGPT-4 for Surgical Site Infection Detection From Electronic Health Records After Colorectal Surgery
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Evaluation of ChatGPT-4 for the Detection of Surgical Site Infections From Electronic Health Records After Colorectal Surgery A Diagnostic Accuracy Study
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
Infect-IA-3
Brief 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
This study aimed to evaluate the ability of ChatGPT-4o to detect surgical site infection at the three anatomical levels
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
Detailed Description:
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 today39s 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
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 today39s 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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None