Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using patient-reported outcome measurement data to generate personalized estimations of outcomes to augment shared decision-making (SDM).

Authors

  • Prakash Jayakumar
    P. Jayakumar, UK Harkness Fellow in Health Care Policy and Practice Innovation, Value Institute for Health and Care/Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA. M. L. G. Moore, Value Based Care Fellow, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA K. J. Bozic, Chair, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
  • Meredith G Moore
    Dell Medical School at the University of Texas at Austin, Austin.
  • Kenneth A Furlough
    Dell Medical School at the University of Texas at Austin, Austin.
  • Lauren M Uhler
    Dell Medical School at the University of Texas at Austin, Austin.
  • John P Andrawis
    Dell Medical School at the University of Texas at Austin, Austin.
  • Karl M Koenig
    Dell Medical School at the University of Texas at Austin, Austin.
  • Nazan Aksan
    Dell Medical School at the University of Texas at Austin, Austin.
  • Paul J Rathouz
    Dell Medical School at the University of Texas at Austin, Austin.
  • Kevin J Bozic