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Artificial Intelligence in Shared Decision-Making Education: A Scoping Review with Ethical Implications for Designing Virtual Standardized Patients

  • Korean Journal of Medical Ethics
  • Abbr : 의료윤리
  • 2026, 29(3), pp.163~187
  • Publisher : The Korean Society For Medical Ethics
  • Research Area : Medicine and Pharmacy > General Medicine
  • Received : August 4, 2026
  • Accepted : September 14, 2026
  • Published : September 30, 2026

JUNHEWK KIM ORD ID 1

1연세대학교

Accredited

ABSTRACT

Shared decision-making (SDM) operationalizes respect for patient autonomy, yet health professionseducation often evaluates it solely through self-reported confidence. This scoping review synthesizedhow artificial intelligence (AI) is used to teach, assess, or support SDM competency among clinicaltrainees and practitioners. A search of four databases in August 2026 identified 1,008 unique records,with 13 meeting inclusion criteria. AI served as an instructional environment (n=5), an assessmentinfrastructure (n=6), or catalyst for curricular improvement (n=2). Only one randomized educationaltrial was identified, and no study demonstrated durable transfer to clinical practice. Eleven sourcesexplicitly targeted patients’ values and preferences, yet only one addressed ethical reasoning, and onlytwo of five simulated encounter models articulated clinical options. Current approaches thereforeemphasize the informational dimension of consent at the expense of collaborative deliberation. Accordingly, we propose five ethical design principles for virtual standardized patients, formulated asa design specification warranting empirical evaluation.

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