Problem
Research questions and friction points this paper is trying to address.
clinical communication
repeated practice
feedback
Scalable AI-based clinical communication training and automated assessment
🤖 AI Summary
为解决临床沟通不足问题，开发了SOPHIE 2.0平台，利用AI技术提供跨场景的互动练习、个性化反馈及自动评估，有效提升沟通技能。
📝 Abstract
Poor clinical communication can delay care, contribute to errors, and harm patients, yet opportunities for repeated practice with feedback remain limited. Our prior randomized trial showed that practice with the SOPHIE AI patient platform improved serious illness communication, but the system addressed a single clinical context and required human effort for delivery and assessment. We developed SOPHIE 2.0, a browser-based, self-service platform integrating embodied AI-patient interactions, personalized feedback, and automated assessment across 24 clinical scenarios. An automated large language model assessor evaluated three communication skills---Empower, Be Explicit, and Empathize---with agreement comparable to individual human raters ($r=0.759$; ICC$=0.746$). In a study of 59 clinicians and students, participants completed two AI-patient encounters with personalized feedback; 92% found the platform engaging, 86% easy to use, and 83% clinically relevant. Scores were higher in the second encounter, though the uncontrolled design precludes attributing this change specifically to training.
Innovation
Methods, ideas, or system contributions that make the work stand out.
embodied AI-patient interactions
personalized feedback
automated assessment
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