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, US

2 Department of Preventive Medicine, Northwestern University, Chicago, IL, US

3 Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, US

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

5 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, US

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

7 see Acknowledgments, Boston, MA, US

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

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

10 Department of Neurology, University of Pittsburgh, Pittsburgh, PA, US

11 Department of Neurology, Massachusetts General Hospital, Boston, MA, US

Corresponding Author:

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