Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54597, first published .
A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

Matthew Deady   1 , BA ;   Raymond Duncan   2 , BA, MD ;   Matthew Sonesen   3 , BA ;   Renier Estiandan   3 , BA ;   Kelly Stimpert   4 , BA ;   Sylvia Cho   5 , PhD, MHS ;   Jeffrey Beers   1 , MD ;   Brian Goodness   1 , MA ;   Lance Daniel Jones   1 , BA, MA ;   Richard Forshee   5 , PhD ;   Steven A Anderson   5 , PhD ;   Hussein Ezzeldin   5 , PhD

1 IBM Consulting, Bethesda, MD, United States

2 Departments of Enterprise Information Services and Pediatrics, Cedars-Sinai Health System, Los Angeles, CA, United States

3 Cedars-Sinai Health System, Enterprise Information Services, Los Angeles, CA, United States

4 DRT Strategies, Inc., Arlington, VA, United States

5 Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States

Corresponding Author:

  • Hussein Ezzeldin, PhD
  • Center for Biologics Evaluation and Research
  • Food and Drug Administration
  • 10903 New Hampshire Ave
  • Silver Spring, MD, 20993
  • United States
  • Phone: 1 240 205 2215
  • Email: hussein.ezzeldin@fda.hhs.gov