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Sepsis diagnosis transformed: artificial intelligence-clinical decision support system clinical impact

Improving sepsis prognosis with artificial intelligence-clinical decision support system (AI-CDSS): clinical efficacy

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN12779015
Enrollment
400
Registered
2024-07-26
Start date
2024-08-01
Completion date
Unknown
Last updated
2024-08-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sepsis Circulatory System

Interventions

This randomized controlled trial involves healthcare practitioners who will be divided into two groups: one using the AI-CDSS and the other following standard sepsis diagnostic practices. The interven

Sponsors

Tri-Service General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

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

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.

Design outcomes

Primary

MeasureTime frame
Mortality rates among patients assessed by tracking and analyzing patient outcomes on days 7, 14, and after discharge.

Secondary

MeasureTime frame
Severity and occurrence of complications measured by rate of progression to septic shock and the incidence of sepsis-related complications such as acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), multiple organ dysfunction syndrome (MODS), disseminated intravascular coagulation (DIC), liver failure, myocardial dysfunction, etc. These complications will be tracked and analyzed on days 7, 14, and after discharge to assess the

Countries

Taiwan

Contacts

Public ContactHung-Sheng Shang
iamkeith@mail.ndmctsgh.edu.tw+886 920713130

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026