OMOP Common Data Model

Defines a common set of tables and fields for observational health data, enabling large-scale analytics and interoperability across disparate datasets, as core to the OHDSI philosophy.

Generates Data Definition Language scripts for various SQL databases like PostgreSQL, shown in the `buildRelease` function with target dialects, ensuring database-agnostic deployment.

Supports multiple CDM versions with tools like `listSupportedVersions()` to generate specific releases, facilitating upgrades and consistency in long-term projects.

Provides R functions such as `executeDdl` to directly create tables in databases, streamlining setup for supported dialects without manual SQL execution.

Uses CSV files as the single source of truth for table and field definitions, ensuring consistency across DDLs, documentation, and data quality checks, as detailed in the update process.