Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.

Journal: JAMA network open
Published Date: May 2, 2022

Abstract

IMPORTANCE: Predicting postoperative complications has the potential to inform shared decisions regarding the appropriateness of surgical procedures, targeted risk-reduction strategies, and postoperative resource use. Realizing these advantages requires that accurate real-time predictions be integrated with clinical and digital workflows; artificial intelligence predictive analytic platforms using automated electronic health record (EHR) data inputs offer an intriguing possibility for achieving this, but there is a lack of high-level evidence from prospective studies supporting their use.

Authors

  • Yuanfang Ren
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Tyler J Loftus
    Department of Surgery, University of Florida Health, Gainesville, FL. Electronic address: tyler.loftus@surgery.ufl.edu.
  • Shounak Datta
    Electronics and Communication Sciences Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata-700 108, India. Electronic address: shounak.jaduniv@gmail.com.
  • Matthew M Ruppert
    Department of Medicine, University of Florida, Gainesville, Florida; Precision and Intelligent Systems in Medicine (Prisma(P)), University of Florida, Gainesville, Florida.
  • Ziyuan Guan
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Shunshun Miao
    Intelligent Critical Care Center, University of Florida, Gainesville.
  • Benjamin Shickel
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Zheng Feng
    Intelligent Critical Care Center, University of Florida, Gainesville.
  • Chris Giordano
    Department of Anesthesiology, University of Florida, Gainesville, Florida.
  • Gilbert R Upchurch
    TCV Division, Department of Surgery, University of Virginia Medical Center, Charlottesville, Virginia.
  • Parisa Rashidi
    Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.
  • Tezcan Ozrazgat-Baslanti
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Azra Bihorac
    Department of Medicine, University of Florida, Gainesville, FL USA.

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