mindsON RBQM | Episode 43: Let's get AI doing the work in RBQM скачать в хорошем качестве

mindsON RBQM | Episode 43: Let's get AI doing the work in RBQM

Clinical development teams face increasing data volumes, complexity, and regulatory expectations. Organizations that successfully integrate artificial intelligence into Risk-Based Quality Management are gaining real advantages in identifying signals early, enhancing oversight efficiency, and focusing human effort where it adds greatest value. AI-enabled approaches are no longer futuristic; they’re shaping how RBQM frameworks support study quality and execution today. In this session, our RBQM authority, Keith Dorricott, is joined by Brian Barnes, Director of Risk Management Strategy – Process Excellence & Oversight at BioNTech and member of the mindsON RBQM Expert Working Group. Together they’ll explore: » How AI is already being applied across different RBQM activities — from data pattern analysis to predictive risk scoring. » What the next wave of AI innovation might look like for clinical quality and oversight. » Why experienced human judgment remains essential alongside smart algorithms. This conversation is designed for practitioners who want practical insights and real dialogue. You’ll be able to contribute through dynamic polls and interactive whiteboards, or simply listen and absorb actionable takeaways. Once the session concludes, keep the conversation going: join us at the actON QbD workshop on 24th March to explore how AI capabilities are being woven into the MyRBQM portal and broader quality-by-design practices. Sign up here: https://academy.cyntegrity.com/upcomi...