Predicting Favorable Outcomes in Hospitalized Covid-19 Patients

Purpose

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

Eligibility

Eligible Ages
Between 18 Years and 100 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

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+.

Study Design

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
Quality improvement - Display Display of risk score/ colored flag in Epic patient list column; will be viewable to all frontline workers
  • Other: EPIC risk score display
    Display of risk score/ colored flag in Epic patient list column
No Display No display ("hidden") of risk score/ colored flag in Epic patient list column; not viewable to all frontline workers

Recruiting Locations

More Details

NCT ID
NCT04570488
Status
Completed
Sponsor
NYU Langone Health

Detailed Description

To assess if display of low risk of adverse event in EPIC can safely reduce length of stay and plan for discharge.