Deploying Large Language Models for Clinical Workflows

This advanced 60-minute workshop distills the latest strategies for safely deploying large language models (LLMs) inside clinical workflows. Participants examine retrieval-augmented generation, agent orchestration and fine-tuning, weigh regulatory and ethical constraints, and experiment live with an open-source LLM and de-identified clinical data. A rapid design sprint lets attendees craft an implementation blueprint for their own organizations, leaving with actionable templates, evaluation check-lists and risk-mitigation tactics to move pilots into production.