Sepsis Clinical Decision Support [CDS] Master Enrollment Study Protocol
NCT05304728 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 40000
Last updated 2024-06-21
Summary
This protocol will collect real-world data retrospectively from the electronic health record (EHR) as data obtained from the delivery of routine medical care to develop a machine learning (ML)-based Clinical Decision Support (CDS) system for severe sepsis prediction and detection.
Conditions
- Severe Sepsis
- Severe Sepsis Without Septic Shock
Sponsors & Collaborators
-
Biomedical Advanced Research and Development Authority
collaborator FED -
Beckman Coulter, Inc.
lead INDUSTRY
Principal Investigators
-
Elliott Crouser, MD · Ohio State University
Eligibility
- Min Age
- 18 Years
- Max Age
- 89 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-02-15
- Primary Completion
- 2025-03-30
- Completion
- 2026-12-31
Countries
- United States
Study Locations
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