Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30697, first published .
The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

Randi Foraker   1, 2 , MA, PhD ;   Aixia Guo   2 , PhD ;   Jason Thomas   3 , BS ;   Noa Zamstein   4 , MSc, PhD ;   Philip RO Payne   1, 2 , PhD ;   Adam Wilcox   3 , PhD ;   N3C Collaborative   5

1 Division of General Medical Sciences, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States

2 Institute for Informatics, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States

3 Department of Biomedical and Medical Education, School of Medicine, University of Washington, Seattle, WA, United States

4 MDClone Ltd, Beer Sheva, Israel

5 See Acknowlegments, Aurora, CO, United States

Corresponding Author:

  • Randi Foraker, MA, PhD
  • Division of General Medical Sciences
  • School of Medicine
  • Washington University in St. Louis
  • 600 S. Taylor Avenue, Suite 102
  • Campus Box 8102
  • St. Louis, MO, 63110
  • United States
  • Phone: 1 314-273-2211
  • Fax: 1 314-273-1390
  • Email: randi.foraker@wustl.edu