A good enrollment plan is critical to completing the patient enrollment process on time. In developing enrollment plans, study managers often miss valuable insights and fail to spot potential problems because they lack the tools to forecast effectively and to quickly identify clinical trial enrollment trends. Home-grown models built with Microsoft Excel® can plug in assumptions, but can’t visualize and predict problems. Without the ability to run simulations and plan scenarios, study managers are unable to validate their enrollment plans.
StudyOptimizer allows Study Managers to leverage the information that resides in their organizations by looking at historical enrollment data and creating plans that reflect these metrics. For larger trials, the enrollment planning process can be broken down and delegated to site or country managers, so that they can build in the unique metrics and enrollment behaviors for their specific environments. Multiple plans can be created and tested against each other to identify the approach that optimizes the overall cost and delivery timing of the clinical trial.