SNOMED International and international health research network OHDSI collaborate

The Observational Health Data Sciences and Informatics (OHDSI) community and SNOMED International have formalized their long-time relationship with a five-year collaborative agreement that will benefit both of their user communities.

OHDSI is a non-profit, global research collaborative that provides open-source solutions and products to enable analysis and sharing of health and observational data. Coordinated by the Columbia University Department of Biomedical Informatics, its mission is to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care.
SNOMED CT is a core terminology within OHDSI's common data model: Observational Medical Outcomes Partnership (OMOP), allowing the use of other terminologies and classifications through computable linkages.

Effective April 29, 2022, the collaboration provides OHDSI and its user community with comprehensive ontologies on specific healthcare domains and content such as devices, social determinants of health, disease severity scores and modifiers of cancers, as well as better concept definitions and resolutions of composite concepts in large-scale observational research. In return, OHDSI and its user community can provide SNOMED International with information and feedback on clinical validation, frequency of use data, and validation of SNOMED CT content modeling. Ultimately, continuous feedback shared regarding identified content gaps will benefit both user communities as we move forward together...

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