Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools.

Journal: Critical care (London, England)
Published Date: Dec 5, 2024

Abstract

BACKGROUND: Continuous waveform monitoring is standard-of-care for patients at risk for or with critically illness. Derived from waveforms, heart rate, respiratory rate and blood pressure variability contain useful diagnostic and prognostic information; and when combined with machine learning, can provide predictive indices relating to severity of illness and/or reduced physiologic reserve. Integration of predictive models into clinical decision support software (CDSS) tools represents a potential evolution of monitoring.

Authors

  • Andrew J E Seely
    Division of Thoracic Surgery, Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada.
  • Kimberley Newman
    Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Rashi Ramchandani
    Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Christophe Herry
    Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Nathan Scales
    Google Research, Mountain View, CA, USA.
  • Natasha Hudek
    Faculty of Medicine Ottawa, University of Ottawa, Ottawa, ON, Canada.
  • Jamie Brehaut
    Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Daniel Jones
    Gleamer SAS, Paris, France.
  • Tim Ramsay
    Inflammation and Chronic Disease Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Doug Barnaby
    Department of Emergency Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Shannon Fernando
    Department of Emergency Medicine, Lakeridge Hospital, Oshawa, ON, Canada.
  • Jeffrey Perry
    Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Sonny Dhanani
    Critical Care, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.
  • Karen E A Burns
    Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada.

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