Effect of a Sepsis Prediction Algorithm on Clinical Outcomes
NCT03960203 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 75147
Last updated 2019-05-24
Summary
In this clinical outcomes analysis, the effect of a machine learning algorithm for severe sepsis prediction on in-hospital mortality, hospital length of stay, and 30-day readmission was evaluated.
Conditions
- Severe Sepsis
Interventions
- DIAGNOSTIC_TEST
-
InSight
Clinical decision support (CDS) system for severe sepsis detection and prediction
Sponsors & Collaborators
-
Dascena
lead INDUSTRY
Principal Investigators
-
Ritankar Das, MSc · Dascena
Study Design
- Purpose
- DIAGNOSTIC
- Masking
- NONE
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2017-01-31
- Primary Completion
- 2018-06-30
- Completion
- 2018-06-30
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