Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

Journal: Critical care clinics
Published Date: Apr 6, 2019

Abstract

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current state of clinical decision support systems (CDSS) in the tele-ICU, applications of machine learning (ML) algorithms to critical care, and opportunities to integrate ML with tele-ICU CDSS. The enormous quantities of data generated by tele-ICU systems is a major driver in the development of the large, comprehensive, heterogeneous, and granular data sets necessary to develop generalizable ML CDSS algorithms, and deidentification of these data sets expands opportunities for ML CDSS research.

Authors

  • Ryan D Kindle
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Omar Badawi
    Laboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Shawn Sturland
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Intensive Care, Wellington Hospital, Wellington, New Zealand.

Keywords

External Resources

Popular Topics
Recent Journals