Comparison of Sepsis Prediction Algorithms

Starting soon

Conditions studied: Sepsis

In brief

Sepsis is a severe response to infection resulting in organ dysfunction and often leading to death. More than 1.5 million people get sepsis every year in the U.S., and 270,000 Americans die from sepsis annually. Delays in the diagnosis of sepsis lead to increased mortality. Several clinical decision support algorithms exist for the early identification of sepsis. The research team will compare the performance of three sepsis prediction algorithms to identify the algorithm that is most accurate and clinically actionable. The algorithms will run in the background of the electronic health record (EHR) and the predictions will not be revealed to patients or clinical staff. In this current evaluation study, the algorithms will not affect any part of a patient's care. The algorithms will be deployed across the Emory healthcare system on data from all patients presenting to the emergency department.

Key facts

Study ID

NCT05943938

Run by

Emory University

People needed

1200

Starts

2026-06-01

Expected to finish

2026-12-01

Last updated by the study team

2026-01-07

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• All adult patients admitted through the ED

You may not qualify if…

• None

Where it is running

• Emory Midtown Hospital — Atlanta, Georgia, United States
• Emory Saint Joseph's Hospital — Atlanta, Georgia, United States
• Emory Healthcare System — Atlanta, Georgia, United States
• Emory Hospital — Atlanta, Georgia, United States
• Emory Decatur Hospital — Decatur, Georgia, United States
• Emory Johns Creek Hospital — Johns Creek, Georgia, United States
• Emory Hillandale Hospital — Lithonia, Georgia, United States

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.