Identification of Uncontrolled Symptoms in Cancer Patients Using Natural Language Processing.

Journal: Journal of pain and symptom management
PMID: 34743011

Abstract

CONTEXT: For patients with cancer, uncontrolled pain and other symptoms are the leading cause of unplanned hospitalizations. Early access to specialty palliative care (PC) is effective to reduce symptom burden, but more efficient approaches are needed for rapid identification and referral. Information on symptom burden largely exists in free-text notes, limiting its utility as a trigger for best practice alerts or automated referrals.

Authors

  • Lisa DiMartino
    RTI International, Translational Health Sciences Division (L.D.), Research Triangle Park, NC, USA. Electronic address: ldimartino@rti.org.
  • Thomas Miano
    RTI International, Center for Data Science (T.M.), Research Triangle Park, NC, USA.
  • Kathryn Wessell
    Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill (K.W., L.C.H.), Chapel Hill, NC, USA.
  • Buck Bohac
    North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill (B.B.), Chapel Hill, NC, USA.
  • Laura C Hanson
    Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill (K.W., L.C.H.), Chapel Hill, NC, USA; Division of Geriatric Medicine, University of North Carolina at Chapel Hill (L.C.H.), Chapel Hill, NC, USA.

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