Trials / Completed
CompletedNCT04570488
Predicting Favorable Outcomes in Hospitalized Covid-19 Patients
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,415 (actual)
- Sponsor
- NYU Langone Health · Academic / Other
- Sex
- All
- Age
- 18 Years – 100 Years
- Healthy volunteers
- Not accepted
Summary
Testing use of predictive analytics to predict which COVID-19+ patients are at low risk for an adverse event (ICU transfer, intubation, mortality, hospice discharge, re-presentation to the ED, oxygen requirements exceeding nasal cannula at 6L/Min) in the next 96 hours
Detailed description
To assess if display of low risk of adverse event in EPIC can safely reduce length of stay and plan for discharge.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | EPIC risk score display | Display of risk score/ colored flag in Epic patient list column |
Timeline
- Start date
- 2020-05-15
- Primary completion
- 2021-12-07
- Completion
- 2021-12-07
- First posted
- 2020-09-30
- Last updated
- 2022-12-27
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT04570488. Inclusion in this directory is not an endorsement.