Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments.

Journal: Psychiatry research
Published Date:

Abstract

The rapid advancement of artificial intelligence (AI) and machine learning are providing new tools to clinicians. AI tools have the potential to process vast amounts of data in a short amount of time, providing new insights and changing how we approach complicated healthcare problems. AI has the potential to assist clinicians in medical decision-making capacity assessments by providing additional insights to an evaluation process that currently lacks universal objective standards. However, despite the promise of AI in this setting, there remain significant concerns making it unlikely to replace human evaluators anytime soon. AI remains highly susceptible to biased inputs and thus biased decisions, raises questions about autonomy, and creates uncertainty for who is accountable for the ultimate decision of capacity. In this paper we explore these ethical considerations of using AI for capacity assessments. While we acknowledge AI may not be ready to replace physicians in determining patient medical-decision making capacity, these new technologies have significant near-term potential as a tool to screen patients, uncover physician biases, and guide next steps after a capacity determination has been made.

Authors

  • Michael R MacIntyre
    Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA, U.S.A.. Electronic address: michaelmacintyremd@gmail.com.
  • Richard G Cockerill
    Dr. Cockerill is a Fellow in Forensic Psychiatry, UCLA-Semel Institute for Neuroscience and Behavior, Los Angeles, California. rcockerill@mednet.ucla.edu.
  • Omar F Mirza
    Department of Psychiatry, NYC Health+Hospitals/Harlem, 506 Lenox Ave., New York, New York, USA.
  • Jacob M Appel
    Department of Psychiatry and Medical Education, Mount Sinai's Icahn School of Medicine, 1 Gustave L. Levy Pl., New York, New York, USA.