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

ABSTRACT:

Background

Electronic health record (EHR) systems are widely used in the United States to document care delivery and outcomes. Health information exchange (HIE) networks, which integrate EHR data from the various health care providers treating patients, are increasingly used to analyze population-level data. Existing methods for population health surveillance of essential hypertension by public health authorities may be complemented using EHR data from HIE networks to characterize disease burden at the community level.

Objective

We aimed to derive and validate computable phenotypes (CPs) to estimate hypertension prevalence for population-based surveillance using an HIE network.

Methods

Using existing data available from an HIE network, we developed 6 candidate CPs for

SUBMITTER: Valvi N 

PROVIDER: S-EPMC10782284 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature