Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study

被引：4
|
作者：
Haberson, Andrea [1 ]
Rinner, Christoph [1 ]
Gall, Walter [1 ]
机构：
[1] Med Univ Vienna, Ctr Med Stat Informat & Intelligent Syst, Spitalgasse 23, A-1090 Vienna, Austria
来源：
ICT FOR HEALTH SCIENCE RESEARCH | 2019年 / 258卷
关键词：
standardized health data; secondary use; claims data; drug safety; common data model; OMOP;
D O I：
10.3233/978-1-61499-959-1-151
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) for Austrian pseudonymized claims data from social security institutions and information about hospital stays is evaluated. 1,023 (99.7%) of ATC codes and 3,695 (98.6%) of ICD10 codes coincide with the OMOP vocabulary. Mappings for the local vocabularies like the Austrian pharmaceutical registration numbers, the Socio-Economic Index and professional groups, to the OMOP vocabulary do not exist. A standardization with the OMOP CDM is possible, however an initial, not negligible effort is required to adapt and incorporate the vocabulary.
引用
收藏
页码：151 / 152
页数：2
相关论文
共 50 条
  • [21] Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study
    Mateus, Pedro
    Moonen, Justine
    Beran, Magdalena
    Jaarsma, Eva
    van der Landen, Sophie M.
    Heuvelink, Joost
    Birhanu, Mahlet
    Harms, Alexander G. J.
    Bron, Esther
    Wolters, Frank J.
    Cats, Davy
    Mei, Hailiang
    Oomens, Julie
    Jansen, Willemijn
    Schram, Miranda T.
    Dekker, Andre
    Bermejo, Inigo
    JOURNAL OF BIOMEDICAL INFORMATICS, 2024, 155
  • [22] Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model
    Klann, Jeffrey G.
    Joss, Matthew A. H.
    Embree, Kevin
    Murphy, Shawn N.
    PLOS ONE, 2019, 14 (02):
  • [23] The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset
    Ward, Roger
    Hallinan, Christine Mary
    Ormiston-Smith, David
    Chidgey, Christine
    Boyle, Dougie
    PLOS ONE, 2024, 19 (04):
  • [24] Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned
    Oja, Marek
    Tamm, Sirli
    Mooses, Kerli
    Pajusalu, Maarja
    Talvik, Harry-Anton
    Ott, Anne
    Laht, Marianna
    Malk, Maria
    Loo, Marcus
    Holm, Johannes
    Haug, Markus
    Suvalov, Hendrik
    Saerg, Dage
    Vilo, Jaak
    Laur, Sven
    Kolde, Raivo
    Reisberg, Sulev
    JAMIA OPEN, 2023, 6 (04)
  • [25] An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0
    Chakrabarti S.
    Sen A.
    Huser V.
    Hruby G.W.
    Rusanov A.
    Albers D.J.
    Weng C.
    Journal of Healthcare Informatics Research, 2017, 1 (1) : 1 - 18
  • [26] 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
  • [27] Fidelity Assessment of a Clinical Practice Research Datalink Conversion to the OMOP Common Data Model
    Matcho, Amy
    Ryan, Patrick
    Fife, Daniel
    Reich, Christian
    DRUG SAFETY, 2014, 37 (11) : 945 - 959
  • [28] Fidelity Assessment of a Clinical Practice Research Datalink Conversion to the OMOP Common Data Model
    Amy Matcho
    Patrick Ryan
    Daniel Fife
    Christian Reich
    Drug Safety, 2014, 37 : 945 - 959
  • [29] Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research
    Belenkaya, Rimma
    Gurley, Michael J.
    Golozar, Asieh
    Dymshyts, Dmitry
    Miller, Robert T.
    Williams, Andrew E.
    Ratwani, Shilpa
    Siapos, Anastasios
    Korsik, Vladislav
    Warner, Jeremy
    Campbell, W. Scott
    Rivera, Donna
    Banokina, Tatiana
    Modina, Elizaveta
    Bethusamy, Shantha
    Stewart, Henry Morgan
    Patel, Meera
    Chen, Ruijun
    Falconer, Thomas
    Park, Rae Woong
    You, Seng Chan
    Jeon, Hokyun
    Shin, Soe Jeong
    Reich, Christian
    JCO CLINICAL CANCER INFORMATICS, 2021, 5 : 12 - 20
  • [30] 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
12345