Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.

Journal: The Lancet. Digital health
Published Date: Jun 1, 2022

Abstract

BACKGROUND: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditions to prioritise care and guide treatment. The aim of this study was to apply natural language processing (NLP) to clinical notes collected in the electronic health record (EHR) to accurately screen for substance misuse.

Authors

  • Majid Afshar
    Loyola University Chicago, Chicago, IL.
  • Brihat Sharma
    Department of Computer Science, Loyola University Chicago, Chicago, IL, USA.
  • Dmitriy Dligach
    Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL.
  • Madeline Oguss
    Department of Medicine, University of Wisconsin, Madison, USA.
  • Randall Brown
    Teva Branded Pharmaceutical Products R&D Inc, Parsippany, New Jersey, USA.
  • Neeraj Chhabra
    Department of Emergency Medicine, Cook County Health, Chicago, IL, USA.
  • Hale M Thompson
    Department of Psychiatry & Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA.
  • Talar Markossian
    Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Chicago, IL, USA.
  • Cara Joyce
    Loyola University Chicago, Chicago, IL.
  • Matthew M Churpek
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Niranjan S Karnik
    Department of Psychiatry, Rush University Medical Center, Chicago, IL, USA.

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