Effectiveness of an artificial intelligence-clinical decision support system for early detection of sepsis: a randomized controlled trial

Tri-Service General Hospital0 sites400 target enrollmentJuly 12, 2024

Overview

No summary available.

Registry

who.int

Start Date

July 12, 2024

End Date

January 15, 2025

Last Updated

last year

Study Type

Interventional

Sex

All

Sponsor

•1\. Professional Status: Must be a licensed health professional authorized to diagnose and manage sepsis, including postgraduate year residents, residents, fellows, or attending physicians in relevant departments such as emergency medicine, intensive care, and infectious diseases.
•2\. Clinical Experience: Must have a minimum of one year of clinical experience, ensuring familiarity with sepsis diagnosis and management protocols.
•3\. Access to Technology: Must have regular access to the necessary technological infrastructure to use the AI\-CDSS, including computers or tablets with internet connectivity. This infrastructure should also be integrated into the hospital’s electronic health record system where feasible.
•4\. Training Willingness: Must be willing to undergo a brief training session on the use of the AI\-CDSS to ensure proper understanding and effective utilization of the system, focusing on how it integrates with sepsis diagnostic and management protocols.

•1\. Non\-Diagnostic Roles: Health professionals who are not directly involved in diagnosing or managing patient care, such as administrative staff, nurses without diagnostic responsibilities, or medical students who do not participate in clinical decision\-making.
•2\. Inexperience in Sepsis Management: Health professionals with less than one year of clinical experience in departments relevant to sepsis care, ensuring that all participants have adequate exposure to sepsis management practices.