Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39231, first published .
Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Suchitra Rao   1 , MBBS, MSCS ;   Catherine Bozio   2 , MPH, PhD ;   Kristen Butterfield   3 , MPH ;   Sue Reynolds   2 , MSc, MPH, PhD ;   Sarah E Reese   3 , PhD ;   Sarah Ball   3 , SCD ;   Andrea Steffens   2 , MPH ;   Maria Demarco   3 , PhD ;   Charlene McEvoy   4 , MPH, MD ;   Mark Thompson   2 , PhD ;   Elizabeth Rowley   3 , DrPH ;   Rachael M Porter   2 , MPH ;   Rebecca V Fink   3 , MPH ;   Stephanie A Irving   5 , MHS ;   Allison Naleway   5 , PhD

1 Department of Pediatrics, Hospital Medicine and Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, United States

2 Centers for Disease Control and Prevention, Atlanta, GA, United States

3 Westat, Rockville, MD, United States

4 HealthPartners Institute, Bloomington, MN, United States

5 Science Programs Department, Kaiser Permanente Center for Health Research, Portland, OR, United States

Corresponding Author:

  • Suchitra Rao, MBBS, MSCS
  • Department of Pediatrics
  • Hospital Medicine and Infectious Diseases
  • University of Colorado School of Medicine
  • 13123 E 16th Ave
  • Aurora, CO, 80045
  • United States
  • Phone: 1 7207772823
  • Fax: 1 7207777295
  • Email: suchitra.rao@childrenscolorado.org