OMOP & OHDSI Tools

To obtain access to OMOP research repository or the OMOP Data Dictionary, please send request to researchdata@uvahealth.org

We have recently implemented an IRB approved research repository containing UVA Health System clinical data (mapped from UVA Epic Database) based upon the OMOP (Observational Medical Outcomes Partnership) clinical data model (CDM).  OMOP was developed by Observational Health Data Sciences and Informatics (OHDSI) as an “open community data standard, designed to standardize the structure and content of observational data and to enable efficient analyses that can produce reliable evidence.”  Our OMOP CDM repository facilitates collaborative research and data sharing among partners in the large and growing health research community using OMOP (3700+ researchers, 83 countries).

Currently, this repository is used to support data transfers to systems such as TriNetX, ACT/Shrine, and N3C where it is exposed to researchers as aggregate or row-level data depending on their permissions and the respective application design.  The RCTA team also can leverage this database when performing data extraction requests for UVA researchers.

If you’d like to learn more about OHDSI and OMOP, we recommend an online book about the OHDSI community and standards (including OMOP, chapters 4&5) https://ohdsi.github.io/TheBookOfOhdsi/

The OMOP database is accessible to researchers listed on the IRB-HSR protocol (some UVA Research Clinical Trial Analytics team members and some iTHRIV informatics team members). These data stewards manage the release and transfer of subsets of this data to external parties and systems and described in the IRB protocol and Data Security Plan.  To obtain access to OMOP research repository, please sent request to researchdata@uvahealth.org.

COST – Currently, access to and use of OMOP research repository is free.

CONTACT – Please send email to reseachdata@uvahealth.org

We are working to establish several useful tools developed by OHDSI for the exploration of our OMOP research repository.  Please return here for updates on our progress:

• ARES (A Research Exploration System) An integrated web interface displays the results of the new indexing service, merging data quality and characterization into a single, cohesive platform.
• ATLAS is a web-based open science analytics platform that can analyze one or more observational databases standardized to the OMOP Common Data Model V5. It also enables the exchange of analysis designs with other organizations in the OHDSI community that have adopted the same open science standards and tools.
• HADES – is a collection of open-source R packages that provide functions that work together to conduct a comprehensive observational study. Starting with data in the CDM, it produces estimates along with supporting statistics, figures, and tables.