Emory Enterprise OMOP
Millions of de-identified patient records, mapped to one global standard.
Build cohorts. Run analyses. Scale to the world.
What you can do
Whether you're a researcher, analyst, or clinician — pick your tool, ask your question, get answers.
Build cohorts

Define study populations visually with ATLAS — inclusion criteria, temporal logic, and demographic filters, no code required.
Query with code

Write SQL, Python, or R against Redshift directly. Full access to every table, every column, on your terms.
Explore the data

Conditions, drugs, measurements, procedures, visits — standardized from Epic and Cerner into one common data model.
Join a global network

Your analyses run anywhere OMOP lives. Reproduce results across the OHDSI network of 400+ institutions worldwide.
Why OMOP at Emory
OHDSI global network of 400+ institutions

One data model. Multiple source systems. Global interoperability.

The OMOP Common Data Model is a global standard for organizing healthcare data. At Emory, we use it to unify records from Epic and Cerner into a single, research-ready data lake — so you can focus on discovery instead of data wrangling.

Because OMOP is the foundation of the OHDSI network, your cohort definitions, analyses, and phenotypes are portable to 400+ institutions across 40+ countries. Local insight becomes global evidence.

Ready to get started?

Request access to ATLAS or the database, then follow our training guides to run your first query in minutes.

Request access Explore training