Predicting Favorable Outcomes in Hospitalized Covid-19 Patients

Predicting Favorable Outcomes in Hospitalized Covid-19 Patients

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.

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+.