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As data sources multiply and trial complexity grows, traditional data review models are no longer sustainable.
Download the white paper to explore the ins and outs of Risk-Based Data Management (RBDM) and the role of RBDM within the broader practice of Risk-Based Quality Management. You’ll also find out how applying a risk-based mindset to data review, oversight, and governance can help teams address growing data complexity in clinical trials.
In this white paper, you’ll discover how to:
- Operationalize RBQM by employing practical RBDM strategies
- Assess your organization’s RBDM maturity and plan your next steps
- Apply proven best practices to address common adoption challenges
Vera Pomerantseva
Vera Pomerantseva is a clinical research and risk management leader with extensive experience in risk-based quality management (RBQM), clinical data analytics, and quality strategy. As Director of Product Management for RBQM at eClinical Solutions, she leads the vision and development of data-driven solutions that help life sciences organizations proactively identify risk, improve trial quality, and drive operational excellence. Vera brings deep industry experience from leadership roles at ZS, Bristol-Myers Squibb, and Novartis, and is widely recognized for her thought leadership in applying risk-based methodologies and quality-by-design principles to clinical development.





