Executing clinical studies using risk-based Monitoring (RBM) methodologies is reducing risks in clinical development, while improving patient safety and study quality. New capabilities of advanced statistical monitoring and Predictive Analytics are enabling the identification of potential patient safety issues and actionable insight into clinical trial performance.
Predictive and Advanced Analytics use unique statistical algorithms specifically designed for optimal RBM execution. The capabilities combine inputs across multiple variables including operational performance and study clinical data to provide unprecedented insights into potential study risks.
By attending this webinar you will understand the application of analytics to identify potential risks before they occur, and to target the right action at the right place at the right time. This is a major step forward in improving quality, safety and productivity in the next generation of RBM execution.
Key Learning Objectives:
Key Messages to be delivered:
Director, Clinical Development Productivity and Quality
Director, Predictive Operational Analytics