Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research

被引:44
|
作者
Belenkaya, Rimma [1 ]
Gurley, Michael J. [2 ]
Golozar, Asieh [3 ]
Dymshyts, Dmitry [4 ]
Miller, Robert T. [5 ]
Williams, Andrew E. [6 ]
Ratwani, Shilpa [7 ]
Siapos, Anastasios [7 ]
Korsik, Vladislav [4 ]
Warner, Jeremy [8 ]
Campbell, W. Scott [9 ]
Rivera, Donna [10 ]
Banokina, Tatiana [4 ]
Modina, Elizaveta [4 ]
Bethusamy, Shantha [1 ]
Stewart, Henry Morgan [7 ]
Patel, Meera [1 ]
Chen, Ruijun [11 ]
Falconer, Thomas [11 ]
Park, Rae Woong [12 ]
You, Seng Chan [12 ]
Jeon, Hokyun [12 ]
Shin, Soe Jeong [12 ]
Reich, Christian [7 ]
机构
[1] Mem Sloan Kettering, New York, NY 10065 USA
[2] Northwestern Univ, Clin & Translat Sci Inst, Evanston, IL USA
[3] Regeneron Pharmaceut, Tarrytown, NY USA
[4] Odysseus Data Serv, Cambridge, MA USA
[5] Tufts Clin & Translat Sci Inst, Boston, MA USA
[6] Tufts Inst Clin Res & Hlth Policy Studies, Boston, MA USA
[7] IQVIA, Real World Solut, London, England
[8] Vanderbilt Univ, Med Ctr, Nashville, TN USA
[9] Univ Nebraska Med Ctr, Omaha, NE USA
[10] NCI, Bethesda, MD 20892 USA
[11] Columbia Univ, Dept Biomed Informat, New York, NY USA
[12] Ajou Univ, Dept Biomed Informat, Sch Med, Suwon, South Korea
来源
关键词
D O I
10.1200/CCI.20.00079
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
[No abstract available]
引用
收藏
页码:12 / 20
页数:9
相关论文
共 50 条
  • [31] A ROBUST, REPRODUCIBLE METHOD FOR EVALUATING THE SUITABILITY OF DISPARATE OBSERVATIONAL DATABASES FOR POOLED ANALYSIS, USING THE OMOP COMMON DATA MODEL
    Reisinger, S. M.
    McDonald, L.
    Carroll, R.
    O'Hara, D. J.
    Anstatt, D.
    Ramagopalan, S.
    VALUE IN HEALTH, 2017, 20 (09) : A776 - A776
  • [32] ETL: From the German Health Data Lab data formats to the OMOP Common Data Model
    Finster, Melissa
    Moinat, Maxim
    Taghizadeh, Elham
    PLOS ONE, 2025, 20 (01):
  • [33] Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model
    Maier, Christian
    Kapsner, Lorenz A.
    Mate, Sebastian
    Prokosch, Hans-Ulrich
    Kraus, Stefan
    APPLIED CLINICAL INFORMATICS, 2021, 12 (01): : 57 - 64
  • [34] Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study
    Haberson, Andrea
    Rinner, Christoph
    Gall, Walter
    ICT FOR HEALTH SCIENCE RESEARCH, 2019, 258 : 151 - 152
  • [35] A Realism-Based View on Counts in OMOP's Common Data Model
    Ceusters, Werner
    Blaisure, Jonathan
    PHEALTH 2017, 2017, 237 : 55 - 62
  • [36] Automated Generation of Individual and Population Clinical Pathways with the OMOP Common Data Model
    Boudis, Fabio
    Clement, Guillaume
    Bruandet, Amelie
    Lamer, Antoine
    PUBLIC HEALTH AND INFORMATICS, PROCEEDINGS OF MIE 2021, 2021, 281 : 218 - 222
  • [37] Learning debiased graph representations from the OMOP common data model for synthetic data generation
    Schulz, Nicolas Alexander
    Carus, Jasmin
    Wiederhold, Alexander Johannes
    Johanns, Ole
    Peters, Frederik
    Rath, Natalie
    Rausch, Katharina
    Holleczek, Bernd
    Katalinic, Alexander
    Gundler, Christopher
    BMC MEDICAL RESEARCH METHODOLOGY, 2024, 24 (01) : 136
  • [38] Eos and OMOCL: Towards a seamless integration of openEHR records into the OMOP Common Data Model
    Kohler, Severin
    Bosca, Diego
    Kaercher, Florian
    Haarbrandt, Birger
    Prinz, Manuel
    Marschollek, Michael
    Eils, Roland
    JOURNAL OF BIOMEDICAL INFORMATICS, 2023, 144
  • [39] Feasibility of Applying the OMOP Common Data Model to Traditional Eastern Asian Medicine Dataset
    Cha, Jiyun
    Ahn, Eun Kyoung
    Yoon, Young-Heum
    Park, Man Young
    MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, 2024, 310 : 1349 - 1351
  • [40] HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model
    Warner, Jeremy L.
    Dymshyts, Dmitry
    Reich, Christian G.
    Gurley, Michael J.
    Hochheiser, Harry
    Moldwin, Zachary H.
    Belenkaya, Rimma
    Williams, Andrew E.
    Yang, Peter C.
    JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 96