actON QbD Workshop | Episode 15: Are we moving to a new era for detecting protocol diviations?

Are We Moving to a New Era for Detecting Protocol Deviations?

Protocol deviations are a critical indicator of trial quality, yet they are often identified late, limiting the ability to act in time. Advances in AI are changing how deviations are detected, assessed, and managed.

This episode of actON QbD introduces a new AI-supported capability within the MyRBQM Portal that strengthens protocol deviation detection and oversight. The session demonstrates how AI helps flag unusual patterns, classify deviations, and track resolutions in a structured and transparent way.

Led by Julien Goncalves, Head of Growth at Cyntegrity, and Keith Dorricott, MBB, Lead Instructor at Cyntegrity, this session connects emerging AI capabilities with practical RBQM application.

During the session, participants learn how to:

• Detect protocol deviations earlier using AI-supported analysis

• Identify unusual patterns and trends across sites and studies

• Classify deviations consistently and transparently

• Track actions and resolutions across clinical teams

• Move toward more proactive, intelligent risk management

This session is designed for clinical operations, quality, and RBQM professionals looking to improve protocol deviation oversight through AI-enabled, data-driven approaches.