06.10.26 -- STREAM Edition: Is Real-World Data "Messy?"

Choosing an effective positive control in HAP studies is not always straightforward. Learn how to justify comparator and dose selection, especially when novel mechanisms challenge traditional approaches.

RTSM software is very different from other eClinical tools, and trying to bundle it into an all-in-one platform can sometimes create more challenges than advantages.

CGT pioneers require supply chain partnerships that mitigate trial risk and complexity. Explore how to optimize pre-trial and pre-screening activities and reduce trial cost and risk with an IRT solution.

Automating FDA data validation rules and analyzing audit trail data can significantly reduce fraud and predict areas of concern. Discover how these advancements can transform your clinical trials.

While both trial auditing and trial monitoring have the same goal of protecting participant safety and rights, they are two separate yet important pieces of the clinical trial process.

Accelerate your trial startup and reduce site burden with a central eSource that allows sponsors to develop and publish central source templates to sites.

Aaron Kamauu challenges the idea that real-world data is simply flawed, arguing it often reflects the inherent messiness of healthcare itself. He emphasizes understanding data origin, context, and alignment with trial populations as critical for meaningful interpretation.