Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases.

ABSTRACT:

Background

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) can be used to transform observational health data to a common format. CDM transformation allows for analysis across disparate databases for the generation of new, real-word evidence, which is especially important in rare disease where data are limited. Pulmonary hypertension (PH) is a progressive, life-threatening disease, with rare subgroups such as pulmonary arterial hypertension (PAH), for which generating real-world evidence is challenging. Our objective is to document the process and outcomes of transforming registry data in PH to the OMOP CDM, and highlight challenges and our potential solutions.

Methods

Three observational studies were transformed from the Clinical Data Interchan

SUBMITTER: Biedermann P 

PROVIDER: S-EPMC8565035 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature