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Traceability and AI for Better Understanding, Communication, and QC of Trials

Clinical trial data standardization, code generation, validation and maintenance are resource and time intensive. Statistical code complexity is enormous with a single study typically containing dozens of files with thousands of cross-references. This makes understanding and communicating how study data is analyzed challenging. Verisian introduces full traceability to provide a new level of study understanding and validation. In this talk, we present how code traceability can enable existing processes across the statistical analysis value chain: spanning study onboarding, root cause and impact analysis, vastly simplifying communication across a complex stakeholder landscape, study pooling, and define-xml automation. Speaker: Tomás Sabat Stöfsel, Co-Founder & CEO, Verisian Resources Learn more about us: https://www.verisian.com/ Join the Verisian Community: https://www.verisian.com/community Follow us on LinkedIn:   / verisian