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Comparing Sepsis Prediction Algorithms

This study is comparing three different computer programs, called algorithms, that are designed to predict sepsis (a severe response to infection that can lead to organ damage and death). The algorithms being compared are the Epic Sepsis Model Version 1, the Epic Sepsis Model Version 2, and the Emory Sepsis Model. Researchers want to find out which algorithm is best at identifying sepsis early, as quick diagnosis can save lives. These algorithms will run in the background of your electronic health record if you are admitted through the emergency department, but they will not affect your medical care during this study. The study aims to enroll 1200 adult patients. The main goal is to see how well each algorithm identifies sepsis during your hospital stay.

Study design
This is an observational study, meaning researchers will simply watch and collect information without changing your care. It aims to include 1200 adult patients.
What's involved
You will not have any extra visits, procedures, or tests. The algorithms will run in the background of your electronic health record during your hospital stay.
Compensation
Not stated in the trial record.
Follow-up
The algorithms will continue to run on your data until you are discharged, pass away, or start intravenous antibiotics, which is expected to be an average of 30 days.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT05943938

Comparison of Sepsis Prediction Algorithms

Not Yet Recruiting
Not specifiedAges 18+Observational
Emory University
~1,200 participants
Updated 2026-01-07 on ClinicalTrials.gov
What's tested:Epic Sepsis Model Version - 1Epic Sepsis Model Version - 2Emory Sepsis Model

At a glance

Recruiting sites
0 of 7 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Patient hospitalization-level area under curve (AUC) for identification of sepsis,
Measured over Duration of hospital stay (until discharge or death), an expected average of 30 days

Conditions

Sepsis

Explore related trials

InfectionSepticemia

Where it's being run

7 sites across 1 states
Georgia7

Study leadership

  • Sivasubramanium Bhavani, MD · PRINCIPAL_INVESTIGATOR · Emory University

Who to contact

Sivasubramanium Bhavani, MD
[email protected]
404-712-2970
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

All adult patients admitted through the ED

Exclusion

None

What this trial measures

  • Patient hospitalization-level area under curve (AUC) for identification of sepsis,Duration of hospital stay (until discharge or death), an expected average of 30 days

    Definition of Sepsis using the Centers for Disease Control and Prevention (CDC) Adult Sepsis Surveillance.