Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 1, 2019

Abstract

OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to decide how to balance competing demands. How this time is allocated has implications for patient satisfaction, payments, and quality of care. We investigate the effectiveness of machine learning methods for automated annotation of medical topics in patient-provider dialog transcripts.

Authors

  • Jihyun Park
    Department of Computer Science, University of California, Irvine, Irvine, California, USA.
  • Dimitrios Kotzias
    Department of Computer Science, University of California, Irvine, Irvine, California, USA.
  • Patty Kuo
    Department of Educational Psychology, University of Utah, Salt Lake City, Utah, USA.
  • Robert L Logan Iv
    Department of Computer Science, University of California, Irvine, Irvine, California, USA.
  • Kritzia Merced
    Department of Educational Psychology, University of Utah, Salt Lake City, Utah, USA.
  • Sameer Singh
    Department of Computer Science, University of California, Irvine, Irvine, California, USA.
  • Michael Tanana
    Lyssn, Seattle, WA.
  • Efi Karra Taniskidou
    Department of Computer Science, University of California, Irvine, Irvine, California, USA.
  • Jennifer Elston Lafata
    Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • David C Atkins
    University of Washington.
  • Ming Tai-Seale
    Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA.
  • Zac E Imel
    University of Utah.
  • Padhraic Smyth
    Department of Computer Science, University of California, Irvine, CA, USA.

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