Accessibility settings

This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1480) Public (e)Health, Digital Epidemiology and Public Health Informatics (2427) Methods and Feasibility Studies (782) Electronic Health Records (1817) Surveillance Systems (703) Secondary Use of Clinical Data for Research and Surveillance (676)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46413, first published .
Patient takes blood pressure during telehealth doctor consultation on smartphone.

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

Authors of this article:

Nimish Valvi1, 2 Author Orcid Image ;   Timothy McFarlane3 Author Orcid Image ;   Katie S Allen1, 4 Author Orcid Image ;   P Joseph Gibson5 Author Orcid Image ;   Brian Edward Dixon1, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Allen K, Valvi N, Gibson P, McFarlane T, Dixon B. Electronic Health Records for Population Health Management: Comparison of Electronic Health Record–Derived Hypertension Prevalence Measures Against Established Survey Data. Online Journal of Public Health Informatics 2024;16:e48300 View
  2. Te T, Fung C, Boland M. Comorbidities that modulate temporal risk for incident hypertension among patients with obstructive sleep apnea. Clinical Hypertension 2025;31(1) View
  3. Varzideh F, Mone P, Kansakar U, Pande S, Jankauskas S, Santulli G. Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension. Hypertension 2026;83(6) View
  4. Fu Y, Cui H, Mao H, Sun F, Liu L, Du F, Yu J, Chen S. First recorded hypertension and subsequent cardiovascular and kidney outcomes after newly diagnosed type 2 diabetes: a population-based cohort study. Frontiers in Endocrinology 2026;17 View