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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.
Age
18 - 100 years
Sex
ALL
Healthy Volunteers
No
NYU Langone Health
New York, New York, United States
Start Date
May 15, 2020
Primary Completion Date
December 7, 2021
Completion Date
December 7, 2021
Last Updated
December 27, 2022
1,415
ACTUAL participants
EPIC risk score display
OTHER
Lead Sponsor
NYU Langone Health
NCT07221162
NCT06721949
NCT06082518
Data Source & Attribution
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