Insights on OMOP vocabularies, healthcare data standards, and observational health research.
Practical guides on OMOP vocabularies, healthcare data standardization, HEOR research methods, and observational health analytics. Written for data engineers, clinical informaticists, and researchers working with OHDSI tools.
Learn how to perform a programmatic MeSH code lookup with the OMOPHub API. This guide covers Python/R examples, resolving to OMOP concepts, and best practices.
Dr. Lisa Martinez
Learn the end-to-end process of clinical data abstraction, from manual vs. automated methods to building OMOP CDM workflows. A practical guide for researchers.
Dr. Emily Watson
A practical guide to Athena OMOP. Learn vocabulary structure, ETL/ML use cases, and how to integrate with Python/R via API for production-ready health data.
Dr. Lisa Martinez