(Analytics Best Practices, Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Intermediate)
As COVID-19 makes timely access to comprehensive, accurate patient data increasingly urgent, healthcare organizations, pharma, and public health agencies are struggling to procure needed clinical information. An answer to this data challenge is a national data set that leverages deep, aggregated electronic health record data from patients across the United States, including patient history, comorbidities, vitals, treatment pathways, labs, and more. A proliferation of local standards and a lack of a standard COVID-19 definition has generated problems at the national level, driving the need for a standard COVID-19 patient type definition and registry. Only with this comprehensive, transparent view of patient health and the public health trends can providers, researchers, and policy makers make lasting, impactful progress against the outbreak. Discover how, with aggregated outbreak information from health systems across the United States, a standard COVID-19 definition and registry can accommodate the rapidly changing disease landscape and fill in critical gaps in clinical understanding.