Cancer Research, Powered by OMOP
Millions of de-identified patient records, mapped to one global standard.
Build cohorts. Run analyses. Accelerate oncology discovery.
Build cohorts. Run analyses. Accelerate oncology discovery.
What you can do
Whether you study tumor biology, clinical trials, survivorship, or treatment outcomes —
pick your tool, ask your question, get answers.
Build cohorts
Define patient populations around cancer diagnoses, treatment regimens, biomarkers, and outcomes — using visual cohort tools, 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, and visits — standardized from Epic and Cerner into one common data model, ready for oncology research.
Join a global network
Your analyses run anywhere OMOP lives. Reproduce results across the OHDSI network of 400+ institutions worldwide.
Why OMOP at Winship Cancer Institute
Your clinical questions, answered with real-world data at scale.
The OMOP Common Data Model unifies records from Epic and Cerner into a single, research-ready data lake. Study cancer incidence, treatment patterns, adverse events, and survival outcomes — without wrestling disparate source systems.
Because OMOP is the foundation of the OHDSI network, your cohort definitions and phenotypes are portable to 400+ institutions across 40+ countries. Oncology research at Emory becomes global evidence.
Ready to explore your data?
Request access to ATLAS or the database, then follow our training guides to run your first oncology research query in minutes.