Webinar

High-validity evidence generation: a case study in asthma

Generating high-validity real-world evidence requires more than access to data—it demands rigorous methods, thoughtful variable definition, and a deep understanding of clinical context. Watch this informative webinar to explore how to navigate these challenges.

This webinar explores:

• A step-by-step look at the full lifecycle of real-world evidence generation, from defining fit-for-purpose data needs to applying advanced analytics and evaluating results for accuracy and relevance
• A detailed asthma case study that demonstrates how methodological rigor and variable quality improve the reliability and interpretability of findings across therapeutic areas
• Practical guidance on model performance, managing difficult-to-measure variables, and ensuring data validity
• Insights into a pragmatic registry approach applied in asthma, showing how customer-prioritized endpoints can be operationalized in real-world settings and extended across disease areas
• Proven strategies for building scalable, high-quality evidence pipelines applicable across diverse clinical and research domains

There’s more. Pulmonary function tests belong to a broad category of data that are vital for disease identification and clinical improvement but are not coded—a critical reminder of why data quality matters in real-world evidence generation.