This paper is in the following e-collection/theme issue:

Big Data (245) Data Science (278) Tools, Programs and Algorithms (275) Secondary Use of Clinical Data for Research and Surveillance (375) Clinical Informatics (1050) eHealth Infrastructures (357) Electronic Health Records (1068) Ontologies, Classifications, and Coding (243)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30970, first published .
Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Authors of this article:

Nicolas Paris1 Author Orcid Image ;   Antoine Lamer1, 2 Author Orcid Image ;   Adrien Parrot1 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

Journals

  1. Merle G, Parent-Harvey A, Harvey E. Sensors and digital medicine in orthopaedic surgery. OTA International: The Open Access Journal of Orthopaedic Trauma 2022;5(2S):e189 View
  2. Frid S, Pastor Duran X, Bracons Cucó G, Pedrera-Jiménez M, Serrano-Balazote P, Muñoz Carrero A, Lozano-Rubí R. An Ontology-Based Approach for Consolidating Patient Data Standardized With European Norm/International Organization for Standardization 13606 (EN/ISO 13606) Into Joint Observational Medical Outcomes Partnership (OMOP) Repositories: Description of a Methodology. JMIR Medical Informatics 2023;11:e44547 View
  3. Heavner S, Anderson W, Kashyap R, Dasher P, Mathé E, Merson L, Guerin P, Weaver J, Robinson M, Schito M, Kumar V, Nagy P. A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools. Critical Care Explorations 2023;5(4):e0893 View
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  5. Henke E, Zoch M, Kallfelz M, Ruhnke T, Leutner L, Spoden M, Günster C, Sedlmayr M, Bathelt F. Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study. JMIR Medical Informatics 2023;11:e47959 View
  6. Oja M, Tamm S, Mooses K, Pajusalu M, Talvik H, Ott A, Laht M, Malk M, Lõo M, Holm J, Haug M, Šuvalov H, Särg D, Vilo J, Laur S, Kolde R, Reisberg S. Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned. JAMIA Open 2023;6(4) View
  7. Lacki A, Martinez-Millana A. A Comparison of the Impact of Pharmacological Treatments on Cardioversion, Rate Control, and Mortality in Data-Driven Atrial Fibrillation Phenotypes in Critical Care. Bioengineering 2024;11(3):199 View
  8. Marcou Q, Berti-Equille L, Novelli N. Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. Journal of Biomedical Informatics 2024;152:104617 View
  9. Fruchart M, Quindroit P, Jacquemont C, Beuscart J, Calafiore M, Lamer A. Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study. JMIR Medical Informatics 2024;12:e49542 View
  10. Mateus P, Moonen J, Beran M, Jaarsma E, van der Landen S, Heuvelink J, Birhanu M, Harms A, Bron E, Wolters F, Cats D, Mei H, Oomens J, Jansen W, Schram M, Dekker A, Bermejo I. Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. Journal of Biomedical Informatics 2024;155:104661 View
  11. Luo M, Gu Y, Zhou F, Chen S. Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods. JMIR Medical Informatics 2024;12:e58498 View
  12. Thakur A, Molaei S, Nganjimi P, Liu F, Soltan A, Schwab P, Branson K, Clifton D. Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digital Medicine 2024;7(1) View