EHR COVID-19 DREAM Challenge


The rapid rise of COVID-19 has challenged healthcare globally. The underlying risks and outcomes of infection are still incompletely characterized even as the world surpasses 1 million infections. Due to the importance and emergent need for better understanding of the condition and the development of patient-specific clinical risk scores and early warning tools, the CD2H has developed a platform to support testing analytic and machine learning hypotheses on clinical data without data sharing as a platform to rapidly discover and implement approaches for care. CD2H previously applied this approach in the successful EHR DREAM Challenge focusing on Patient Mortality Prediction with University of Washington (UW) Medicine.

Initially, CD2H is asking the following challenge question: Of patients who have at least one clinical encounter/visit at UW Medicine and who were tested for Covid-19, can we predict who is positive? In addition to the initial challenge question, CD2H has identified 9 total questions of interest, 4 of which we hope to adapt if the first Challenge is successful.

The EHR COVID-19 DREAM challenge is made possible by funding from the National Center for Advancing Translational Sciences (NCATS) and partnerships with the University of Washington School of Medicine Departments (Anesthesiology and Pain Medicine, Radiology and Biomedical Informatics and Medical Education), UW Medicine Information Technology Services, the Institute of Translational Health Sciences, the Center for Data to Health, and the CLEAR Center.

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