Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29259, first published .
Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

Journals

  1. Park S, Bong J, Park I, Lee H, Choi J, Park P, Kim Y, Choi H, Kang S. ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records. Applied Sciences 2022;12(21):11250 View
  2. Ginosar Y, Wimpfheimer A, Weissman C. Using Mean Anesthesia Workload to Plan Anesthesia Workforce Allocations: The “Flaw of Averages”. Anesthesia & Analgesia 2022;135(6):1138 View
  3. Lamer A, Moussa M, Marcilly R, Logier R, Vallet B, Tavernier B. Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project. Journal of Clinical Monitoring and Computing 2023;37(2):461 View
  4. 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
  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. Birch R, Umbel K, Karafin M, Goel R, Mathew S, Pace W. How do we build a comprehensive Vein‐to‐Vein (V2V) database for conduct of observational studies in transfusion medicine? Demonstrated with the Recipient Epidemiology and Donor Evaluation Study‐IV‐Pediatric V2V database protocol. Transfusion 2023;63(9):1623 View
  7. Henke E, Zoch M, Peng Y, Reinecke I, Sedlmayr M, Bathelt F. Conceptual design of a generic data harmonization process for OMOP common data model. BMC Medical Informatics and Decision Making 2024;24(1) View
  8. 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
  9. Du L, Hong F, Zhu Y, Chen W, Zhang Z, Fu P, Li Q, Zhou P. Integration of endoscopic professional database development and image annotation platform: Radiation control plan for gastric examination. Journal of Radiation Research and Applied Sciences 2024;17(4):101085 View
  10. 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
  11. French M, Hartman P, Hayes H, Ling L, Magel J, Thackeray A. Coverage of Physical Therapy Assessments in the Observational Medical Outcomes Partnership Common Data Model. Applied Clinical Informatics 2024;15(05):1003 View
  12. El Qadir N, Jones H, Leiman D, Porter Starr K, Cohen S. Preoperative dysphagia and adverse postoperative outcomes in middle aged and older adults. Journal of Clinical Anesthesia 2025;100:111688 View
  13. Austin J, Lobo E, Samadbeik M, Engstrom T, Philip R, Pole J, Sullivan C. Decades in the making: The evolution of digital health research infrastructure through synthetic data, common data models and federated learning (Preprint). Journal of Medical Internet Research 2024 View