Large Language Models (LLMs) are reshaping healthcare, but how do we ensure they work safely and reliably for clinicians? Traditional trials are too slow and costly for digital health's rapid cycles, while early testing doesn't prove clinical validity. Clinical simulation offers a promising way forward, putting these tools in clinicians' hands, in realistic scenarios, to test their real-world performance. We believe this methodology should become a core part of how we validate LLM-based technologies before they reach clinical settings.

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