CODA-19: a Collaborative Data Analysis Platform to Improve Clinical Care in Patients with COVID-19

Chasse, Michael | $937,950

Quebec Centre hospitalier de l'Université de Montréal 2020 CIHR Operating Grant

COVID‑19 is a highly contagious acute respiratory illness that has undergone rapid global spread in the beginning of 2020. There is a pressing need to develop tools that can help physicians diagnose COVID‑19 rapidly, determine if different disease presentations warrant different types of treatment, flag patients at high risk of deteriorating, and ensure healthcare resources are attributed efficiently and equitably. Through an established partnership with 9 hospitals, a collaborative analysis platform has been developed to pool data from multiple sites while minimizing the exchange of patient-level information. This collaboration is building on a large database of biological data from patients tested for COVID‑19 that is being collected in these hospitals. Risk prediction models will be developed to identify patients at high risk of COVID prior to the availability of definitive testing, characterize distinct disease trajectories, intervene pre-emptively in patients at high risk of clinical deterioration, and make forecasts to plan hospital resources and staffing. The accuracy of predictions will be continuously verified using new cases, which will be identified from different hospital sites in real time. These predictive models will be used to build tools that can help physicians better treat patients with COVID-19, and provide actionable recommendations to support Canada’s response to COVID-19.

With funding from the Government of Canada

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