Effectiveness of an artificial intelligence clinical decision support system for early detection of sepsis

Not Applicable

• Conditions: Sepsis; Infections and Infestations

• Registration Number: ISRCTN83789437
• Lead Sponsor: Tri-Service General Hospital

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2024-07-12
• Last Update Posted: 22 July 2024
• Study Completion: 2025-01-15

Recruitment & Eligibility

• Status: Ongoing
• Sex: All
• Target Recruitment: 400

Inclusion Criteria

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.

Exclusion Criteria

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.

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Physician confidence in their sepsis diagnosis measured using a questionnaire on days on day 1, 2, 4, and 7 after the initial diagnosis or risk identification

Secondary Outcome Measures

Name	Time	Method
The following secondary outcome measures will be assessed using a questionnaire administered on days 1, 2, 4, and 7 after the initial sepsis diagnosis:<br>1. Satisfaction with the Diagnostic Process to evaluate factors influencing physician satisfaction, including decision-making efficiency (time required and ease of accessing necessary information) and overall satisfaction with the diagnostic process as used in their clinical practice<br>2. Effectiveness of Sepsis Management Decisions. This involves assessing the effectiveness of the decisions made following the sepsis diagnosis in managing patient care and improving health outcomes, such as recovery rates and prevention of sepsis progression.