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PCORnet COVID-19 Common Data Model Design and Results

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


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    "description": "<p>Original Post: <a href=\"https://rethinkingclinicaltrials.org/news/june-5-2020-pcornet-covid-19-common-data-model-design-and-results-thomas-carton-phd-ms-keith-marsolo-phd-jason-perry-block-md-mph/\">NIH Collaboratory</a></p>\n\n<p>&nbsp;</p>\n\n<p><strong>Key Points</strong></p>\n\n<ul>\n\t<li>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.</li>\n\t<li>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.</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p><strong>Discussion Themes</strong></p>\n\n<p><em>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?</em></p>\n\n<p><em>Is there a query to discover and address COVID-19 health disparities and social determinants of health?</em></p>\n\n<p><em>Can PCORnet and NCATS&rsquo;&nbsp;<a href=\"https://ncats.nih.gov/n3c\">National COVID Cohort Collaborative (N3C)</a>&nbsp;work together?</em></p>\n\n<p>Read more about PCORnet&rsquo;s&nbsp;<a href=\"https://github.com/PCORnet-DRN-OC/Query-Details/blob/master/COVID_weekly_query/2020_04_29/FD1228%20Query%205%20Distributed%204.29.2020%20Technical%20Specifications.xls\">code lists and case definitions</a>&nbsp;on GitHub.</p>", 
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    "title": "PCORnet COVID-19 Common Data Model Design and Results", 
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    "publication_date": "2020-06-16", 
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        "affiliation": "Louisiana Public Health Institute", 
        "name": "Carton, Thomas W."
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        "affiliation": "Department of Population Health Sciences, Duke Clinical Research Institute, Duke University School of Medicine", 
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        "affiliation": "Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School", 
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