In today’s healthcare landscape, truly understanding the whole patient remains a significant challenge—especially when much of the most valuable data lies unstructured, hidden within clinical notes, EHRs, and patient narratives. At WHYZE Health, we’re pioneering the use of Large Language Models (LLMs) to unlock these rich, untapped sources and generate actionable Real World Evidence (RWE). This session will reveal how our AI-powered platform bridges the data divide, enabling a deeper, longitudinal understanding of patient journeys. We’ll share groundbreaking insights from our work on the Mayo Platform in the U.S., demonstrating how our approach surfaced patterns in disease progression and treatment responses that traditional methods often overlook. Attendees will learn how cutting-edge AI is transforming healthcare decision-making—empowering life sciences, payers, and providers with richer, patient-centric evidence. This talk is not just about technology, but about a future where RWE reflects the full complexity of human health.
