Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48297, first published .
Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Jeremy A Balch   1, 2 * , MD ;   Matthew M Ruppert   2, 3 * , MA ;   Tyler J Loftus   1, 2 , MD ;   Ziyuan Guan   2, 3 , MA ;   Yuanfang Ren   2, 3 , PhD ;   Gilbert R Upchurch   1 , MD ;   Tezcan Ozrazgat-Baslanti   2, 3 , PhD ;   Parisa Rashidi   2, 4 , PhD ;   Azra Bihorac   2, 3 , MSc, MD

1 Department of Surgery, University of Florida Health, Gainesville, FL, United States

2 Intelligent Critical Care Center, University of Florida, Gainesville, FL, United States

3 Department of Medicine, University of Florida, Gainesville, FL, United States

4 Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States

*these authors contributed equally

Corresponding Author:

  • Azra Bihorac, MSc, MD
  • Intelligent Critical Care Center
  • University of Florida
  • PO Box 100224
  • Gainesville, FL, 32610-0224
  • United States
  • Phone: 1 352 273 9009
  • Fax: 1 352-392-5465
  • Email: abihorac@ufl.edu