Trials / Completed
CompletedNCT03235193
Predictive algoRithm for EValuation and Intervention in SEpsis
Prediction of Severe Sepsis Using a Machine Learning Algorithm
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 2,296 (actual)
- Sponsor
- Dascena · Industry
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).
Conditions
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 CHH electronic health record, healthcare provider follows standard practices in assessing possible (severe) sepsis and intervening accordingly. |
Timeline
- Start date
- 2017-07-01
- Primary completion
- 2017-08-30
- Completion
- 2017-08-30
- First posted
- 2017-08-01
- Last updated
- 2021-09-21
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT03235193. Inclusion in this directory is not an endorsement.