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Talk from Kees van Bochove, The Hyve at SCOPE Summit, Real World Data track, Jan 26, 2017, Miami
A large open source initiative for standardisation and epidemiological analysis for real world data is OHDSI: Observational Health Data Sciences and Informatics. OHDSI leverages the OMOP common data model for observational data, and provides data analysis tools for a broad range of use cases. This talk will explain OMOP and OHDSI with case study IMI EMIF, in which health data from over 50 million patients from 13 national and regional European registries is brought together.