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

Joanna S Cavalier¹, Benjamin A Goldstein², Vardit Ravitsky³, Jean-Christophe Bélisle-Pipon⁴, Armando Bedoya¹, Jennifer Maddocks⁵, Sam Klotman⁵, Matthew Roman⁵, Jessica Sperling⁶, Chun Xu², Eric G Poon⁵, Anand Chowdhury¹

¹Department of Medicine, Duke University School of Medicine, Durham, North Carolina.

²Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

³Center for Bioethics, Harvard Medical School, Boston, Massachusetts.

⁴Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

⁵Department of Health Technology Solutions, Duke University Health System, Durham, North Carolina.

⁶Duke Clinical & Translational Science Institute, Duke University, Durham, North Carolina.

PubMed PMC DOI PDF

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) a…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.