Optimizing Antihypertensive Medication Classification in Electronic Health Record-Based Data: Classification System Development and Methodological Comparison.

ABSTRACT: BACKGROUND:Computable phenotypes have the ability to utilize data within the electronic health record (EHR) to identify patients with certain characteristics. Many computable phenotypes rely on multiple types of data within the EHR including prescription drug information. Hypertension (HTN)-related computable phenotypes are particularly dependent on the correct classification of antihypertensive prescription drug information, as well as corresponding diagnoses and blood pressure information. OBJECTIVE:This study aimed to create an antihypertensive drug classification system to be utilized with EHR-based data as part of HTN-related computable phenotypes. METHODS:We compared 4 different antihypertensive drug classification systems based off of 4 different methodologies and terminologies, inc

SUBMITTER: McDonough CW 

PROVIDER: S-EPMC7068459 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature