Abstract:
Virtual patients, powered by AI, can respond dynamically and adapt in real-time as healthcare learners navigate patient-provider communication challenges. By scaling high-quality training across diverse scenarios—from basic tasks like taking a patient’s medical history to complex end-of-life discussions—these AI digital counterparts can accelerate competency development, ensuring more prepared and confident healthcare providers.
AI-driven virtual patients, like PCS Spark, act as a training multiplier, to enable learners to engage in unlimited practice, receive instant feedback, and refine their skills in ways traditional methods cannot match.
Join PCS Spark product experts as they walk you through a few clinical encounters with an intelligent, digital patient powered by generative artificial intelligence, with Special Guest Gayle Gliva-McConvey, as she shares her insights on AI-driven virtual patients as an innovative tool in clinical skills education, teaching and assessment.
Learning Objectives:
- Experience Spark’s clinical interview and history-gathering functionality, powered by cutting-edge bespoke AI speech technology.
- Explore the diagnostic tools learners can access during a patient encounter that includes vital signs, physical exam components, interventions, and treatment options.
- Assess the advanced automated evaluation and debriefing features, which provide real-time performance analysis, targeted feedback, and actionable insights to enhance learning and clinical decision-making.
