ROMOP

ROMOP interfaces with Electronic Health Record (EHR) data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) within the R environment.

Key Features:

• OMOP CDM Data Access and Querying: Provides functions to explore CDM tables, extract and summarize clinical and demographic patient data, and perform patient-level searches using standardized OMOP vocabulary concepts.
• Standardized EHR Data Handling: Enables interoperable analysis of OMOP CDM–structured EHR datasets across institutions and health systems.

Scientific Applications:

• Biomedical EHR-Based Research: Supports analysis of standardized EHR data for studies of patient outcomes, disease patterns, and treatment effects.

Methodology:

ROMOP implements R functions to query, retrieve, and summarize OMOP CDM–formatted EHR tables, leveraging standardized vocabularies and data structures to enable reproducible and interoperable clinical data analysis.