Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46413, first published .
Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study

Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study

Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study

Nimish Valvi   1, 2 * , MPH, DrPH ;   Timothy McFarlane   3 , MPH, PhD ;   Katie S Allen   1, 4 , BS ;   P Joseph Gibson   5 , MPH, PhD ;   Brian Edward Dixon   1, 4 * , MPA, PhD

1 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States

2 Department of Nutrition and Health Science, College of Health, Ball State University, Muncie, IN, United States

3 Indiana Family and Social Services Administration, Indianapolis, IN, United States

4 Department of Health Policy & Management, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States

5 CDC Foundation, Atlanta, GA, United States

*these authors contributed equally

Corresponding Author:

  • Brian Edward Dixon, MPA, PhD
  • Department of Health Policy & Management
  • Fairbanks School of Public Health
  • Indiana University
  • 1050 Wishard Blvd
  • RG 5000
  • Indianapolis, IN, 46202
  • United States
  • Phone: 1 317-278-3072
  • Email: bedixon@regenstrief.org