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