Automating sedation state assessments using natural language processing.

Journal: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
PMID: 38532639

Abstract

INTRODUCTION: Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.

Authors

  • Aaron Conway
    Peter Munk Cardiac Centre, University Health Network, Toronto, Canada. aaron.conway@utoronto.ca.
  • Jack Li
    Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
  • Mohammad Goudarzi Rad
    Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
  • Blair Warren
    Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
  • Sebastian Mafeld
    Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
  • Babak Taati

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