Unifying Data Review and Risk Management with elluminate RBQM

Clinical data review and risk management are often executed in parallel but disconnected workflows, leading to duplicated effort, inconsistent interpretations, and misaligned priorities across study teams. This demo session will illustrate how elluminate RBQM, part of the elluminate Clinical Data Intelligence Platform, enables a more unified approach by connecting data managers, medical monitors, and risk stakeholders through a shared, metadata-driven framework. By centralizing critical-to-quality (CtQ) definitions, study risks, and monitoring plans, the platform ensures that what matters most to trial success is consistently reflected across all review activities.

Attendees will see how risk insights—originating from structured assessments—flow seamlessly into data review processes, driving focused, role-specific oversight supported by integrated listings, analytics, and automated workflows. The demonstration will also highlight how harmonized data, AI-driven anomaly detection, and coordinated query management enable streamlined collaboration across data, risk, and quality functions. Ultimately, this session will showcase a scalable vision where silos are removed, insights are shared in real time, and the path from signal detection to mitigation becomes faster, clearer, and more collaborative.