95% of those polled in 2018 found the summit to be excellent!
Is your organization inundated with information and unable to focus on what matters?
Does your staff struggle with analytical, critical thinking skills needed to manage risk and uncover opportunities to drive real change?
Come to the Clinical Trial Risk and Performance Management Summit and discover the secrets to implementing a successful metrics program. You’ll unlock the secrets to deciding what to measure; establishing your data requirements; aggregating reliable data; designing easy to understand metric reports; and using metrics to identify areas of concern and conduct root cause analysis.
Check out this sampling of what you’ll explore over the course of an information-packed day-and-a-half:
ICH-E6(R2): This international guideline continues to challenge contract research organizations, sponsors and others. How do regulators use data to determine where to conduct inspections? What challenges has risk-based quality management presented to others? How should you address such challenges? Get ready for answers — from FDA, MHRA and EMA officials as well as industry top thinkers.
Squeezing Max Value Out of Data: Do your metrics answer the high-priority questions, reward the right behaviors, give you reliable time/quality readings? Speakers and panelists are ready with answers.
Data Quality: Designing data reports end-users can read and understand… aggregating in-house and CRO/vendor data… data governance and stewardship… and much more.
Predictive Analytics: Predictive analytics can help you with site selection, quality indicators and more. Discover savvy new ways to apply and test findings.
Critical Thinking Skills: Staff can be the weakest link. Discover creative new ways to move away from a ‘check the box’ mentality.
Join us at the Clinical Trial Risk and Performance Management Summit to explore how you can address these challenges.
Network and problem solve with your peers by choosing one of two tracks, vendor oversight and risk-based quality management.