webinar

The State of Risk-based Monitoring (RBM)

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June 21, 2016

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Summary

The adoption of risk-based monitoring (RBM) is both increasing and deepening, impacting the execution of clinical trials of all sizes and phases. But much is required to ensure RBM studies go well, as roles and processes change with innovative technology use. 

Attend this live webinar as RBM market leader Quintiles shares recent research results and their view of the status of RBM, along with lessons learned from the more than 150 trials they are engaged in to date. You will also hear about the latest technology enhancements and use of analytics that are shaping the future of RBM. 

Register for this webinar to hear:

  • Insights from research and RBM implementations of all sizes and phases
  • Successes and challenges of changing existing trials over to RBM methodologies
  • The latest technology and analytics advances for centralized monitoring, the core of risk-based monitoring

Register today for this insightful and helpful webinar, so you too can execute your RBM trials with confidence.

Speakers

Martin Giblin
VP Data Sciences, Safety & Regulatory, Head Risk-based Monitoring
Quintiles

Martin currently leads the Quintiles Data-driven Trial Execution team, the next generation of Risk-based Monitoring (RBM). He previously led the Centralized Data & Operational Surveillance group, a core component of Quintiles RBM offering. Having worked at Quintiles 10 years in data management, technology and clinical operations, his particular interest is in the application of technology to the trial execution process.

Alan Frederickson
Senior Director, Technology & Automation Solutions, Data Sciences, Safety & Regulatory
Quintiles

As Sr. Director, Technology and Automation Solutions for Quintiles, Alan focuses on enhancing the quality and efficiency of technology solutions to support Risk-based Monitoring, Clinical Data Management, Biostatistics, Medical Writing, Regulatory and Pharmacovigilance, with workflow management and data accessibility, aggregation, and analytics.