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Gram Type Infection-Specific Sepsis Identification Using Machine Learning

Sepsis Clinical Trial

Official title:
Gram Type Infection-Specific Sepsis Identification Using Machine Learning

Clinical Trial Summary

The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a Gram type infection-specific algorithm will be applied to EHR data for the detection of severe sepsis. For patients determined to have a high risk of severe sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, time to antibiotic administration. The secondary endpoint will be reduction in the administration of unnecessary antibiotics, which includes reductions in secondary antibiotics and reductions in total time on antibiotics.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03734484
Study type Interventional
Source Dascena
Contact
Status Withdrawn
Phase Phase 2
Start date May 1, 2022
Completion date March 1, 2023
View Details
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