SCDM Webinar | From RBQM to AI: Embracing New Opportunities for Data Managers
Description:
Clinical research is undergoing a period of rapid innovation, requiring clinical data managers (CDMs) to adapt and lead the frontline of change.
Driven by ICH E6(R3) mandates for risk- and value-proportionate actions, sponsors and CROs are integrating risk-based quality management (RBQM) into clinical data workflows.
Explore how CDMs can work cross-functionally to adopt risk-based methods using a data catalog to classify data concepts and criticalities. Extend your impact by automating manual workflows across the data lifecycle, from aggregation and cleaning to protocol deviations and reporting, and shifting focus to strategic data orchestration.
Key take aways:
- How to collaborate more effectively with clinical teams to drive proactive change
- Use a data catalogue that stores and understands study endpoints and their criticality
- Leverage AI-augmented automation to enable RBQM
Pavel Burmenko
Team Lead, DQS Strategy
Veeva
Pavel Burmenko started in the industry as a SAS programmer and progressed to leading global teams, developing processes, and innovating new solutions to drive better outcomes for clinical trials. Leading strategy for Veeva's Data Quality System (DQS) workbench, Pavel is responsible for helping data managers at sponsors and CROs adopt more efficient tools and processes, with an emphasis on automation and risk-based approaches.
