LLMs are opening new frontiers in healthcare, from summarizing unstructured patient records to enhancing decision support and care coordination. But applying these models in clinical environments requires more than accuracy; it demands precision, context-awareness, and rigorous operational oversight. This session explores how healthcare teams are deploying LLMs in real workflows, with a focus on: → Extracting and structuring clinical insights from messy, unstructured data. → Mitigating risks around hallucinations, bias, and patient safety. →Integrating models into systems that drive measurable improvements in care. Whether you're working on model deployment, healthcare tooling, or data infrastructure, this session offers practical lessons for bringing LLMs from the lab to the clinic.