Standardized observational cancer research using the OMOP CDM oncology module Conference Paper
| Authors: | Belenkaya, R.; Gurley, M.; Dymshyts, D.; Araujo, S.; Williams, A.; Chen, R.; Reich, C. |
| Title: | Standardized observational cancer research using the OMOP CDM oncology module |
| Conference Title: | 17th World Congress on Medical and Health Informatics |
| 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. © 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
| Keywords: | human tissue; conference paper; neoplasm; neoplasms; oncology; cancer research; models, theoretical; register; registries; research; factual database; databases, factual; theoretical model; diseases; grading; electronic health records; standardized; medical informatics; anatomical structures; electronic health record; observational research |
| Journal Title | Studies in Health Technology and Informatics |
| Volume: | 264 |
| Conference Dates: | 2019 Aug 25-30 |
| Conference Location: | Lyon, France |
| ISBN: | 0926-9630 |
| Publisher: | IOS Press |
| Date Published: | 2019-01-01 |
| Start Page: | 1831 |
| End Page: | 1832 |
| Language: | English |
| DOI: | 10.3233/shti190670 |
| PUBMED: | 31438365 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 1 October 2019 -- Source: Scopus |
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