Using OHDSI resources, investigators can run code developed at other institutions, share queries, build predictive models, and much more.
The OHDSI/OMOP Common Data Model is a widely-adopted technique for transforming data from disparate models (e.g. data from different electronic health record systems) into the same format so that researchers can run the same query at multiple sites. The OHDSI consortium has since developed a comprehensive suite of tools that extend the model’s functionality. For investigators who truly want “all the data” for a given cohort of patients and are prepared to write their own SQL code, OHDSI resources are likely the best fit.
To learn more about OHDSI infrastructure at WCM, email arch-support@med.cornell.edu.