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Standardized Observational Cancer Research Using the OMOP CDM Oncology Module
Rimma Belenkaya, Michael Gurley, Dmitry Dymshyts, Sonia Araujo, Andrew Williams, RuiJun Chen, Christian Reich
1831 - 1832
10.3233/SHTI190670
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

Observational research in cancer requires substantially more detail than most other therapeutic areas. Cancer conditions are defined through histology, affected anatomical structures, staging and grading, and biomarkers, and are treated with complex therapies. Here, we show a new cancer module as part of the OMOP CDM, allowing manual and automated abstraction and standardized analytics. We tested the model in EHR and registry data against a number of typical use cases.

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