Rethinking Real-World Data Partnerships: How to Fill Gaps Without Starting Over
Noah Nasser, CEO of datma Most pharmaceutical companies have already invested heavily in real-world data (RWD). These internal datasets, often curated over years, serve as the foundation for ongoing research and analysis. They often represent significant investment in time, budget, and coordination across internal teams and systems. But even robust internal datasets can fall short when new analytical needs or questions arise, particularly in the context of targeted therapies where biomarker specific insights are essential. When a stakeholder asks a question about a subpopulation defined by a biomarker, mutation type, or clinical context, the existing dataset may not contain the patients needed to answer it. The missing data might be subtle, such as biomarker status or specific genomic features, but they are often essential. This doesn’t mean the internal dataset is flawed, it reflects the evolving nature of oncology and the reality that new questions often demand new ...