| Literature DB >> 31438365 |
Rimma Belenkaya1, Michael Gurley2, Dmitry Dymshyts3, Sonia Araujo4, Andrew Williams5, RuiJun Chen6, Christian Reich7.
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.Entities:
Keywords: Oncology; Research; Standardized
Mesh:
Year: 2019 PMID: 31438365 DOI: 10.3233/SHTI190670
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630