NCT03015454

An Algorithm Driven Sepsis Prediction Biomarker

A Randomized Controlled Clinical Trial of an Algorithm Driven Sepsis Prediction Biomarker

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 142 (actual)
• Sponsor: Dascena · Industry
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

A sepsis early warning predictive algorithm, InSight, has been developed and validated on a large, diverse patient cohort. In this prospective study, the ability of InSight to predict severe sepsis patients is investigated. Specifically, InSight is compared with a well established severe sepsis detector in the UCSF electronic health record (EHR).

Conditions

• Sepsis
• Septic Shock
• Severe Sepsis

Interventions

Type	Name	Description
OTHER	Severe Sepsis Prediction	Upon receiving an InSight alert, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.
OTHER	Severe Sepsis Detection	Upon receiving information from the severe sepsis detector in the UCSF electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly.

Timeline

• Start date: 2016-12-01
• Primary completion: 2017-02-01
• First posted: 2017-01-10
• Last updated: 2021-09-23

Locations

1 site across 1 country: United States