Machine Learning Sepsis Alert Notification Using Clinical Data

PHASE2UnknownINTERVENTIONAL
Enrollment

37,986

Participants

Timeline

Start Date

September 25, 2021

Primary Completion Date

August 31, 2022

Study Completion Date

August 31, 2022

Conditions
SepsisSevere SepsisSeptic Shock
Interventions
OTHER

HindSight

HindSight will examine the dynamic trends of clinical measurements taken from a patient's EHR and analyzes correlations between vital signs to alert for the onset of sepsis.This machine learning based tool is optimized by encoder and utilizes periodic retraining to improve its performance over time.

OTHER

InSight

Compared to the ability of the InSight software's recognition of sepsis onset to HindSight's performance. The study determines if the HindSight software has equivalent or better performance than the InSight software.

Trial Locations (3)

01199

RECRUITING

Baystate Health, Springfield

08103

RECRUITING

Cooper University Health Care, Camden

08210

RECRUITING

Cape Regional Medical Center, Cape May

Sponsors
All Listed Sponsors
collaborator

Cape Regional Medical Center

UNKNOWN

collaborator

Cooper University Medical Center

UNKNOWN

collaborator

Baystate Health

OTHER

collaborator

National Institute on Alcohol Abuse and Alcoholism (NIAAA)

NIH

lead

Dascena

INDUSTRY