Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 22, 2023

Abstract

OBJECTIVES: To design an interface to support communication of machine learning (ML)-based prognosis for patients with advanced solid tumors, incorporating oncologists' needs and feedback throughout design.

Authors

  • Catherine J Staes
    College of Nursing, University of Utah, Salt Lake City.
  • Anna C Beck
    Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, United States.
  • George Chalkidis
    Hitachi, Ltd, Tokyo, Japan.
  • Carolyn H Scheese
    College of Nursing, University of Utah, Salt Lake City, UT 84112, United States.
  • Teresa Taft
    Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT 84108, United States.
  • Jia-Wen Guo
    College of Nursing, University of Utah, Salt Lake City.
  • Michael G Newman
    Huntsman Cancer Institute, Salt Lake City, Utah.
  • Kensaku Kawamoto
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Elizabeth A Sloss
    College of Nursing, University of Utah, Salt Lake City.
  • Jordan P McPherson
    Huntsman Cancer Institute, Salt Lake City, Utah.

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