WEBINAR
AI in Healthcare Simulation: Past, Present, and Future
What AI Means for Healthcare Simulation Now—and What’s Coming Next
See how AI is being applied across healthcare simulation today from transcription and assessment support to feedback workflows and future-ready evaluation tools inside LearningSpace.
In this SSH Learning Lab session, Melissa Lowther explores where AI fits in healthcare simulation right now, what’s already delivering value, and what’s coming next. The session moves beyond buzzwords to focus on real workflow improvements for simulation teams, including faster video review, more consistent assessment support, and better ways to deliver timely learner feedback
Key Takeaways
- How AI, machine learning, deep learning, and large language models connect to healthcare simulation in practical terms.
- Where AI is already showing up in simulation, including virtual patients, scenario creation, AR/VR training, and learner assessment.
- How simulation teams can use AI to support both summative scoring and more immediate formative feedback.
- What’s ahead for AI in simulation, including richer contextual inputs, support for standardized patient workflows, and expanded language support.
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