Assessing Data Adequacy for High Blood Pressure Clinical Decision Support: A Quantitative Analysis.

ABSTRACT:

Objective

This study examines guideline-based high blood pressure (HBP) and hypertension recommendations and evaluates the suitability and adequacy of the data and logic required for a Fast Healthcare Interoperable Resources (FHIR)-based, patient-facing clinical decision support (CDS) HBP application. HBP is a major predictor of adverse health events, including stroke, myocardial infarction, and kidney disease. Multiple guidelines recommend interventions to lower blood pressure, but implementation requires patient-centered approaches, including patient-facing CDS tools.

Methods

We defined concept sets needed to measure adherence to 71 recommendations drawn from eight HBP guidelines. We measured data quality for these concepts for two cohorts (HBP screening and HBP diagnosed)

SUBMITTER: Dorr DA 

PROVIDER: S-EPMC8354347 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature