Uncovering New Rare Disease Patients Using Structured and Unstructured Real-World Data

Rare disease patient populations are often difficult to identify due to limited prevalence and fragmented data sources. In this webinar, MMIT experts show how NorstellaLinQ integrates structured and unstructured real-world data—including EMR, claims, and lab results—to quantify rare disease populations, develop commercial and payer targeting strategies, and create robust HEOR stories to support market access and evidence generation.