Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study.

Journal: Journal of medical Internet research
Published Date: Nov 18, 2021

Abstract

BACKGROUND: Cancer genetic testing to assess an individual's cancer risk and to enable genomics-informed cancer treatment has grown exponentially in the past decade. Because of this continued growth and a shortage of health care workers, there is a need for automated strategies that provide high-quality genetics services to patients to reduce the clinical demand for genetics providers. Conversational agents have shown promise in managing mental health, pain, and other chronic conditions and are increasingly being used in cancer genetic services. However, research on how patients interact with these agents to satisfy their information needs is limited.

Authors

  • Daniel Chavez-Yenter
    Department of Communication, University of Utah, Salt Lake City, UT, United States.
  • Kadyn E Kimball
    Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
  • Wendy Kohlmann
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Rachelle Lorenz Chambers
    Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States.
  • Richard L Bradshaw
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.
  • Whitney F Espinel
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Michael Flynn
    University of Utah Health, Salt Lake City, UT, United States.
  • Amanda Gammon
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Eric Goldberg
    Department of Medicine, New York University Grossman School of Medicine, New York University, New York, NY, United States.
  • Kelsi J Hagerty
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Rachel Hess
    Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.
  • Cecilia Kessler
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Rachel Monahan
    Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States.
  • Danielle Temares
    Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States.
  • Katie Tobik
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Devin M Mann
    Department of Population Health, New York University Grossman School of Medicine, New York University, New York, NY, United States.
  • Kensaku Kawamoto
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Saundra S Buys
    Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
  • Ophira Ginsburg
    National Cancer Institute Center for Global Health, Bethesda, Maryland, USA.
  • Kimberly A Kaphingst
    Department of Communication, University of Utah, Salt Lake City, UT, United States.

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