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

Ryan D Kindle; Omar Badawi; Leo Anthony Celi; Shawn Sturland

doi:10.1016/j.ccc.2019.02.005

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

Crit Care Clin. 2019 Jul;35(3):483-495. doi: 10.1016/j.ccc.2019.02.005. Epub 2019 Apr 6.

Authors

Ryan D Kindle¹, Omar Badawi², Leo Anthony Celi³, Shawn Sturland⁴

Affiliations

¹ 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.
² Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Patient Care Analytics, Philips Healthcare, Baltimore, MD, USA; Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.
³ 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. Electronic address: lceli@mit.edu.
⁴ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Intensive Care, Wellington Hospital, Wellington, New Zealand.

PMID: 31076048
DOI: 10.1016/j.ccc.2019.02.005

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.

Keywords: Clinical decision support systems; ICU; Machine learning; Telemedicine.

Publication types

Review

MeSH terms

Artificial Intelligence*
Big Data*
Decision Support Systems, Clinical*
Humans
Intensive Care Units*
Telemedicine*