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

Development and Evaluation of Research Methods, Instruments and Tools (630) Surveillance Systems (490) Electronic Health Records (1169) Public (e)Health, Digital Epidemiology and Public Health Informatics (849) Methods and Feasibility Studies (395) Secondary Use of Clinical Data for Research and Surveillance (413)

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

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
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JMIR Formative Res: Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study https://t.co/zZoBwGRiMz https://t.co/j9ukBT4vCx

2:01 PM · Dec 27, 2023

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RT @jmirpub: JMIR Formative Res: Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and V…

2:02 PM · Dec 27, 2023

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