Machine Learning Sepsis Alert Notification Using Clinical Data

Summary

Machine learning is a powerful method to create clinical decision support (CDS) tools, when training labels reflect the desired alert behavior. In our Phase I work for this project, we developed HindSight, an encoding software that was designed to examine discharged patients' electronic health records (EHRs), identify clinicians' sepsis treatment decisions and patient outcomes, and pass those labeled outcomes and treatment decisions to an online algorithm for retraining of our machine-learning-based CDS tool for real-time sepsis alert notification, InSight. HindSight improved the performance of InSight sepsis alerts in retrospective work. In this study, we propose to assess the clinical utility of HindSight by conducting a multicenter prospective randomized controlled trial (RCT) for more accurate sepsis alerts.

Conditions

• Sepsis
• Severe Sepsis
• Septic 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.

Sponsors & Collaborators

• Cape Regional Medical Center

  collaborator UNKNOWN

• Cooper University Medical Center

  collaborator UNKNOWN

• Baystate Health

  collaborator OTHER

• National Institute on Alcohol Abuse and Alcoholism (NIAAA)

  collaborator NIH

• Dascena

  lead INDUSTRY

Principal Investigators

• Jana Hoffman, PhD · Dascena

Study Design

Allocation

RANDOMIZED

Purpose

OTHER

Masking

TRIPLE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2021-09-25

Primary Completion

2022-08-31

Completion

2022-08-31

Countries

• United States

Study Locations