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
To assess if display of low risk of adverse event in EPIC can safely reduce length of stay
and plan for discharge.
Other: EPIC risk score display
Display of risk score/ colored flag in Epic patient list column
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+.
NYU Langone Health
New York, New York, United States
Jonathan Austrian, MD, Principal Investigator
NYU Langone Health