NYU Langone Health
New York, 10016, United States
NCT Number: NCT04570488
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
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Notify Me18 year–100 year
All sexes
Observational
New York, 10016, United States
To assess if display of low risk of adverse event in EPIC can safely reduce length of stay and plan for discharge.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
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+.
Display of risk score/ colored flag in Epic patient list column
Time frame: 96 Hours
Reduction in days from first low-risk score to discharge
Time frame: 96 hours
Reduction in LOS for green patients that have not been in the ICU
Time frame: 96 hours
Reduction in GTD vs. LOS for all green patients discharged alive vs all patients discharged alive
Time frame: 96 hours
No change in 30 day re-ED presentation or hospital admission rate for cohort
Time frame: 96 hours
Time frame: 96 hours
Time frame: 96 hours
Time frame: 96 hours
NYU Langone Health
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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