Online tool (CORONET) created to support clinical decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness

  • Lee, Rebecca (Corresponding participant)
  • Caroline Dive (Participant)
  • Anne Armstrong (Participant)

Impact: Health and wellbeing

Narrative

Identifying which patients with cancer would be most at risk from Covid-19 was a challenge for healthcare staff at the start of the pandemic. Working with colleagues from Christie NHS Foundation Trust, we developed a model based on features of severity, predicting whether patients were likely to need oxygen or die.

The CORONET (COVID-19 Risk in ONcology Evaluation Tool) tool was then developed to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 and the likely severity of illness. The tool is based on real world patient data.

In 2021, CORONET.AI version 2.0 was released to the clinical community and can now be used by clinicians throughout the world. In November 2021, the CORONET team were recognised as “Trailblazers in COVID-19 research response” at the NIHR CRN Greater Manchester’s evening of excellence.
Impact date2020
Category of impactHealth and wellbeing
Impact levelEngagement

Research Beacons, Institutes and Platforms

  • Cancer
  • Digital Futures
  • Christabel Pankhurst Institute
  • Institute for Data Science and AI
  • Manchester Cancer Research Centre