Presentation Open Access

PCORnet COVID-19 Common Data Model Design and Results

Carton, Thomas W.; Marsolo, Keith; Block, Jason Perry

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Carton, Thomas W.</dc:creator>
  <dc:creator>Marsolo, Keith</dc:creator>
  <dc:creator>Block, Jason Perry</dc:creator>
  <dc:description>Original Post: NIH Collaboratory


Key Points

	For data to be useful in research, they have to be standardized across systems. The PCORnet Common Data Model standardizes data into a single language, enabling fast insights.
	All the core data elements needed to support COVID-19 research and surveillance have a home in the PCORnet CDM. The goal for PCORnet is to characterize the cohort of COVID-19 patients and provide detailed information on demographics and pre-existing conditions.


Discussion Themes

Can PCORnet partners stand up a version of the CDM with more up-to-date information to allow for a faster characterization of the PCORnet COVID-19 population?

Is there a query to discover and address COVID-19 health disparities and social determinants of health?

Can PCORnet and NCATS’ National COVID Cohort Collaborative (N3C) work together?

Read more about PCORnet’s code lists and case definitions on GitHub.</dc:description>
  <dc:subject>Common Data Model</dc:subject>
  <dc:subject>Data Query</dc:subject>
  <dc:subject>Health Disparities</dc:subject>
  <dc:subject>Distributed data network</dc:subject>
  <dc:title>PCORnet COVID-19 Common Data Model Design and Results</dc:title>
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