Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

Journal: Frontiers in public health
Published Date: May 9, 2022

Abstract

BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and social risks and behaviors. To capture this information at scale, natural language processing (NLP) tools must be developed and evaluated. We developed and applied an annotation schema to deeply characterize OUD and related clinical, behavioral, and environmental factors, and automated the annotation schema using machine learning and deep learning-based approaches.

Authors

  • Melissa N Poulsen
    Department of Population Health Sciences, Geisinger, Danville, PA, United States.
  • Philip J Freda
    University of Pennsylvania, Institute for Biomedical Informatics, Philadelphia, PA.
  • Vanessa Troiani
    Autism and Developmental Medicine Institute, Geisinger, Danville, PA, United States.
  • Anahita Davoudi
    Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA.
  • Danielle L Mowery
    Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT.

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