CATCH (Corona Application Tool for Collaborating Hospitals) - a patient database for gaining an overview of and treating coronavirus patients

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Known Financial Commitments (USD)

    $790,557.6
  • Funder

    Novo Nordisk Foundation
  • Principal Investigator

    N/A

  • Research Location

    Denmark
  • Lead Research Institution

    Rigshospitalet
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The purpose of the project is to develop, optimize and scale the clinical application CATCH, which addresses an acute clinical and administrative need for effective referral, testing and treatment of citizens suspected of having contracted COVID-19 all across Denmark. The system will ensure a speedy, efficient referral of Danish COVID-19 patients, avoiding bottlenecks in the healthcare system and overload situations in individual hospitals. This is achieved by continually collecting local data concerning the spread of the virus and comparing it with data on the capacity of local hospitals. Also, real-time data from electronic patient records will be obtained for COVID-19 patients who are admitted to hospital, which will help to identify the severely ill and the less seriously ill patients and provide suggestions for treatment based on clinical recommendations. Through Artificial Intelligence, the data will be used to pinpoint the most important factors contributing to severe illness. Based on this, it will be possible to generate updated risk assessments for the individual patients, from their admission and onwards.