Return to homepagePandemic Pact

Identifying and Predicting Patients with Preventable High Utilization

  • Funded by Patient-Centered Outcomes Research Institute
  • Total publications:0 publications

Grant number: unknown

Grant search

Key facts

  • Disease

    COVID-19

  • Known Financial Commitments (USD)

    $500,000

  • Funder

    Patient-Centered Outcomes Research Institute

  • Principal Investigator

    MD. Rainu Kaushal

  • Research Location

    United States of America

  • Lead Research Institution

    Joan & Sanford I. Weill Medical College of Cornell University

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Given the surge of hospitalizations among COVID-19 patients in the United States, healthcare professionals and health system leaders are facing significant uncertainty in decision making due to a lack of evidence-based decision support tools. The study team proposed three enhancement aims to develop prediction models to plan for resource need and to inform clinical and health system decision making that could improve outcomes for patients hospitalized with COVID-19. Specifically, the team will develop models to predict three primary outcomes among hospitalized COVID-19 patients: intensive care unit need, the risk of mortality, and the course and outcome of intubation.