Predicting Favorable Outcomes in Hospitalized Covid-19 Patients
Purpose
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
Conditions
- COVID
- Corona Virus Infection
- Adverse Event
Eligibility
- Eligible Ages
- Between 18 Years and 100 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
Adult hospitalized COVID19+ patients predicted to have no adverse event at 96 events with a threshold at 90% PPV, with at least one low risk during their admission who are discharged alive and have not been in the ICU
Exclusion Criteria
Age < 18 years not hospitalized for COVID19+.
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| Quality improvement - Display | Display of risk score/ colored flag in Epic patient list column; will be viewable to all frontline workers |
|
| No Display | No display ("hidden") of risk score/ colored flag in Epic patient list column; not viewable to all frontline workers |
|
Recruiting Locations
More Details
- NCT ID
- NCT04570488
- Status
- Completed
- Sponsor
- NYU Langone Health
Detailed Description
To assess if display of low risk of adverse event in EPIC can safely reduce length of stay and plan for discharge.