Optimizing identification of resistant hypertension: Computable phenotype development and validation.

ABSTRACT:

Purpose

Computable phenotypes are constructed to utilize data within the electronic health record (EHR) to identify patients with specific characteristics; a necessary step for researching a complex disease state. We developed computable phenotypes for resistant hypertension (RHTN) and stable controlled hypertension (HTN) based on the National Patient-Centered Clinical Research Network (PCORnet) common data model (CDM). The computable phenotypes were validated through manual chart review.

Methods

We adapted and refined existing computable phenotype algorithms for RHTN and stable controlled HTN to the PCORnet CDM in an adult HTN population from the OneFlorida Clinical Research Consortium (2015-2017). Two independent reviewers validated the computable phenotypes through manual

SUBMITTER: McDonough CW 

PROVIDER: S-EPMC7754782 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature