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Article

Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States.

American journal of hypertension - 15 Nov 2023

He Siran, Park Soyoun, Kuklina Elena, Therrien Nicole L, Lundeen Elizabeth A, Wall Hilary K, Lampley Katrice, Kompaniyets Lyudmyla, Pierce Samantha L, Sperling Laurence, Jackson Sandra L

Abstract excerpt

BACKGROUND: Hypertension is an important risk factor for cardiovascular diseases. Electronic health records (EHRs) may augment chronic disease surveillance. We aimed to develop an electronic phenotype (e-phenotype) for hypertension surveillance. METHODS: We included 11,031,368 eligible adults from the 2019 IQVIA Ambulatory Electronic Medical Records-US (AEMR-US) dataset. We identified hypertension using three...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 37696605
DOI: 10.1093/ajh/hpad081
PMCID: PMC10898654

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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