Importance of forecasting clinical trial enrollment: an AI enabled approach to increase confidence in feasibility and execution

  • Learn how to pressure-test site footprint through predictive analytics by forecasting enrollment at the country and site level
  • Discover methods to run re-forecasts based on actual study performance for more accurate tracking and adjustments as necessary
  • Gain competitive advantage thru actionable insights to remain agile and avoid costly enrollment delays
  • Learn how to leverage data to identify low-performing sites earlier in the trial process to implement effective risk mitigation tactics