Literature DB >> 31438365

Standardized Observational Cancer Research Using the OMOP CDM Oncology Module.

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


  2 in total

1.  Transforming Thyroid Cancer Diagnosis and Staging Information from Unstructured Reports to the Observational Medical Outcome Partnership Common Data Model.

Authors:  Sooyoung Yoo; Eunsil Yoon; Dachung Boo; Borham Kim; Seok Kim; Jin Chul Paeng; Ie Ryung Yoo; In Young Choi; Kwangsoo Kim; Hyun Gee Ryoo; Sun Jung Lee; Eunhye Song; Young-Hwan Joo; Junmo Kim; Ho-Young Lee
Journal:  Appl Clin Inform       Date:  2022-06-15       Impact factor: 2.762

2.  Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study.

Authors:  Hokyun Jeon; Seng Chan You; Seok Yun Kang; Seung In Seo; Jeremy L Warner; Rimma Belenkaya; Rae Woong Park
Journal:  JMIR Med Inform       Date:  2021-04-06
  2 in total

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