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