Published on in Vol 24 , No 5 (2022) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37931, first published .
Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study

Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study

Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study

Jeffrey G Klann   1 , MEng, PhD ;   Zachary H Strasser   1 , MD ;   Meghan R Hutch   2 , BS ;   Chris J Kennedy   3 , PhD ;   Jayson S Marwaha   4 , MD ;   Michele Morris   5 , BA ;   Malarkodi Jebathilagam Samayamuthu   5 , MD ;   Ashley C Pfaff   4 , MD ;   Hossein Estiri   1 , PhD ;   Andrew M South   6 , MD, MS ;   Griffin M Weber   7 , MD, PhD ;   William Yuan   7 , PhD ;   Paul Avillach   7 , MD, PhD ;   Kavishwar B Wagholikar   1 , MBBS, PhD ;   Yuan Luo   2 , PhD ;   The Consortium for Clinical Characterization of COVID-19 by EHR (4CE)   7 ;   Gilbert S Omenn   8 , MD, PhD ;   Shyam Visweswaran   5 , MD, PhD ;   John H Holmes   9 , MS, PhD ;   Zongqi Xia   10 , MD, PhD ;   Gabriel A Brat   7 , MD ;   Shawn N Murphy   11 , MD, PhD

1 Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States

2 Department of Preventive Medicine, Northwestern University, Chicago, IL, United States

3 Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, United States

4 Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

5 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States

6 Section of Nephrology, Department of Pediatrics, Brenner Children's, Wake Forest School of Medicine, Winston Salem, NC, United States

7 see Acknowledgments, Boston, MA, United States

8 Center for Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States

9 Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

10 Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States

11 Department of Neurology, Massachusetts General Hospital, Boston, MA, United States

Corresponding Author:

  • Jeffrey G Klann, MEng, PhD
  • Laboratory of Computer Science
  • Department of Medicine
  • Massachusetts General Hospital
  • 50 Staniford St
  • Suite 750
  • Boston, MA, 02114
  • United States
  • Phone: 1 6142822222
  • Email: jeff.klann@mgh.harvard.edu