Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors.

Journal: JCO clinical cancer informatics
PMID:

Abstract

PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, machine learning-based 6-month survival prognosis information designed to aid oncology providers in preparing for and discussing prognosis with patients with advanced solid tumors and their caregivers. The primary purpose of this study was to assess patient and caregiver perceptions and identify enhancements of the interface for communicating 6-month survival and other prognosis information when making treatment decisions concerning anticancer and supportive therapy.

Authors

  • Elizabeth A Sloss
    College of Nursing, University of Utah, Salt Lake City.
  • Jordan P McPherson
    Huntsman Cancer Institute, Salt Lake City, Utah.
  • Anna C Beck
    Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, United States.
  • Jia-Wen Guo
    College of Nursing, University of Utah, Salt Lake City.
  • Carolyn H Scheese
    College of Nursing, University of Utah, Salt Lake City, UT 84112, United States.
  • Naomi R Flake
    Clinical & Translational Science Institute, University of Utah, Salt Lake City, UT.
  • George Chalkidis
    Hitachi, Ltd, Tokyo, Japan.
  • Catherine J Staes
    College of Nursing, University of Utah, Salt Lake City.