Enhancing Risk Assessment in Patients Receiving Chronic Opioid Analgesic Therapy Using Natural Language Processing.

Journal: Pain medicine (Malden, Mass.)
Published Date: Oct 1, 2017

Abstract

OBJECTIVES: Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to initiating opioid therapy. Despite recent dramatic increases in prescription opioid misuse and abuse, use of screening tools by clinicians continues to be underutilized. This research evaluated natural language processing (NLP) together with other data extraction techniques for risk assessment of patients considered for opioid therapy as a means of predicting opioid abuse.

Authors

  • Irina V Haller
    Essentia Institute of Rural Health, Duluth, Minnesota.
  • Colleen M Renier
    Essentia Institute of Rural Health, Duluth, Minnesota.
  • Mitch Juusola
    Essentia Institute of Rural Health, Duluth, Minnesota.
  • Paul Hitz
    Essentia Institute of Rural Health, Duluth, Minnesota.
  • William Steffen
    North American Medical Affairs.
  • Michael J Asmus
    North American Medical Affairs.
  • Terri Craig
    North American Medical Affairs.
  • Jack Mardekian
    Pfizer Inc, New York, NY, USA.
  • Elizabeth T Masters
    Outcomes and Evidence, Global Health and Value, Pfizer Inc., New York, New York, USA.
  • Thomas E Elliott
    Essentia Institute of Rural Health, Duluth, Minnesota.

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