Ethics in Patient Preferences for Artificial Intelligence-Drafted Responses to Electronic Messages.

Journal: JAMA network open
PMID: 40067301

Abstract

IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to physician burnout and dissatisfaction, prompting uptake of artificial intelligence (AI) to alleviate this burden. It is important to understand patient preferences around AI in patient-clinician communication as ethical guidelines on appropriate use and disclosure (patient notification of AI use) are developed.

Authors

  • Joanna S Cavalier
    Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
  • Benjamin A Goldstein
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
  • Vardit Ravitsky
    Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, Quebec, Canada.
  • Jean-Christophe Bélisle-Pipon
    Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
  • Armando Bedoya
    Algorithm-Based Clinical Decision Support (ABCDS) Oversight, Office of Vice Dean of Data Science, School of Medicine, Duke University, Durham, NC, 27705, USA.
  • Jennifer Maddocks
    Department of Health Technology Solutions, Duke University Health System, Durham, North Carolina.
  • Sam Klotman
    Department of Health Technology Solutions, Duke University Health System, Durham, North Carolina.
  • Matthew Roman
    Department of Health Technology Solutions, Duke University Health System, Durham, North Carolina.
  • Jessica Sperling
    Duke University Social Science Research Institute, Durham, NC.
  • Chun Xu
    Xinjiang University of Finance and Economics, Urmqi 830011, China.
  • Eric G Poon
    Duke University Health System, Durham, NC, United States.
  • Anand Chowdhury
    Department of Medicine, Duke University School of Medicine, Durham, North Carolina.

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