Semantic harmonization via a common data model (CDM) that provides controlled vocabularies and standardized structure allows disparate multi-institutional electronic health records to convey a shared meaning. Gaps exist in the Observational Medical Outcomes Partnership (OMOP) CDM’s structure that prevent a full representation of oncology data. To improve OMOP CDM, we advocate for the development of more appropriate oncology vocabularies and table structures that can adequately represent continuous and temporal oncology data.
Learning Objective: Formulate an approach to adoption of a common data model for semantic harmonization of oncology data.
Joseph Plasek (Presenter)
Advocate Aurora Health
John Weissert, Advocate Aurora Health
Kourosh Ravvaz, Advocate Aurora Health