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"It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners
0
Zitationen
9
Autoren
2026
Jahr
Abstract
Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM)–based AI standardized patients (AI-SPs) promise flexible, on-demand practice, yet learners often report that they “talk like a patient but feel different.” We interviewed 12 clinical-year medical students and conducted three co-design workshops with them to examine how learners experience SP constraints and what they expect from AI-SPs. We identified six learner-centered needs that are translated into AI-SP design requirements and synthesized a conceptual workflow. Our findings position AI-SPs as tools for deliberate practice and show that instructional usability rather than conversational realism alone drives learner trust, engagement, and educational value.
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