Nursing Research, Powered by OMOP
Millions of de-identified patient records, mapped to one global standard.
Build cohorts. Run analyses. Advance nursing science.
Build cohorts. Run analyses. Advance nursing science.
What you can do
Whether you study falls, sepsis, pressure injuries, or readmissions —
pick your tool, ask your question, get answers.
Build cohorts
Define patient populations around nursing-sensitive outcomes — falls, pressure injuries, catheter-associated infections — 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, medications, vitals, procedures, and visits — standardized from Epic and Cerner into one common data model, ready for nursing research.
Join a global network
Your analyses run anywhere OMOP lives. Reproduce results across the OHDSI network of 400+ institutions worldwide.
Why OMOP at the School of Nursing
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 nursing-sensitive outcomes like falls, pressure injuries, sepsis readmissions, and medication adherence — 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. Nursing 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 nursing research query in minutes.