MedTrace Logo

Predicting Favorable Outcomes in Hospitalized Covid-19 Patients

NCT04570488 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1415

Last updated 2022-12-27

No results posted yet for this study

Summary

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

Interventions

OTHER

EPIC risk score display

Display of risk score/ colored flag in Epic patient list column

Sponsors & Collaborators

Principal Investigators

  • Jonathan Austrian, MD · NYU Langone Health

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-05-15
Primary Completion
2021-12-07
Completion
2021-12-07

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04570488 on ClinicalTrials.gov