Published June 16, 2020
| Version V1.0.0
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PCORnet COVID-19 Common Data Model Design and Results
- 1. Louisiana Public Health Institute
- 2. Department of Population Health Sciences, Duke Clinical Research Institute, Duke University School of Medicine
- 3. Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School
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.
Files
GR-Slides-06-05-20.pdf
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