OMOP on PMAP
The Observational Medical Outcomes Partnership (OMOP) dataset on PMAP is a premier research resource, providing the largest and most up-to-date curated representation of patients receiving care at Johns Hopkins Medicine. The OMOP Common Data Model (CDM) standardizes patient information capture across departments, institutions, and global research partners, enabling reproducibility and collaboration. Recognized as the industry gold standard, OMOP allows researchers to access Johns Hopkins data through PMAP and scale their studies efficiently using standardized language and codes.
500+ Million Patients
OMOP is a common data model widely adopted by medical institutions across the U.S. and around the world
3,000 Data Quality Tests
OMOP is the most curated data standard using the Data Quality Dashboard
Powerful Analysis Tools
Access to powerful tools for evidence generation: API Rstudio/Python, SQL via SAFE, Crunchr or Databricks
Johns Hopkins OHDSI Research Network
The Observational Data Sciences and Informatics (or OHDSI, pronounced “Odyssey”) research network is an international community using empirical methods to conduct observational and reproducible research. We are building an active, local OHDSI community of Johns Hopkins clinical researchers who are supporting each other to help take advantage of the global OHDSI community.
OMOP on PMAP can help accelerate your clinical research
Observational Medical Outcomes Partnership (OMOP) Common Data Model
A common data model of devised standard codes that creates a better way to aggregate EMR data and share it broadly
OHDSI (Observational Health Data Sciences and Informatics)
A collaborative community responsible for creating and stewarding the OMOP Common Data Model (CDM), a standard for observational health data
EHDEN Academy
An online educational resource academy for real-world data researchers (European Health Data & Evidence Network)
JH Biomedical Informatics and Data Science (BIDS)
Graduate programs offering BIDS education tracks at Johns Hopkins
