In today's evidence-based healthcare landscape, life sciences companies are surrounded by Real-World Data (RWD). However, having access to massive datasets does not translate to having the right data.
In this session, industry experts Dr. Radek Wasiak and Isabella Even-Chen break down the critical "Fit-for-Purpose Gap"—the misstep of assuming a single, generalized dataset can satisfy every study design, regulatory requirement, or health economics endpoint.
Key Takeaways:
- Defining "Fit for Purpose": Move beyond volume metrics to evaluate whether a dataset matches your specific clinical, regulatory, and epidemiological requirements.
- The High Cost of One-Size-Fits-All: Avoid costly delays, invalid assumptions, and regulatory pushback caused by forcing a rigid dataset onto a unique research question.
- AI’s Role (and Limitations) in RWD: Explore how artificial intelligence accelerates extraction and harmonization while preserving the strict epidemiological rigor required for evidence generation.
- Practical Frameworks: Gain actionable strategies to bridge the gap between raw, messy healthcare data and publication-ready evidence.
Featuring Insights from
Isabella Even-Chen
Isabella Even-Chen is a Solutions Manager within RWD Commercial Strategy & Innovation at Norstella, with expertise in real-world data, analytics, and translating complex data into actionable insights. She partners with life sciences companies to understand their most pressing business needs and identify opportunities to address them through the right combination of data, technology, analytics, and services. Her experience spans commercial strategy, solution design, and client engagement, allowing her to connect business needs with practical, data-driven solutions. She is passionate about developing innovative approaches that help organizations make confident decisions and ultimately improve patient lives.
Radek Wasiak
,
PhD
Radek, an expert in real world data assets and generation and real world evidence, has provided research services to life sciences for more than two decades. His research spans real world data assessment, outcome measurement and their real-world data applications. He held research and executive roles at top consulting and clinical-research organizations, driving innovation and team growth.
Sponsored by
Norstella
