This Course is designed for students at the Advanced level.
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This Course provides content in Visual format.
This Course awards a NA upon successful completion of all learning tasks.
SAS Clinical Enrollment Simulation (CES) is a powerful tool that uses discrete event simulation (DES) to model and optimize the clinical trial enrollment process. Designed for professionals in the pharmaceutical and healthcare industries, this solution allows users to simulate recruitment and financial performance based on a variety of parameters. By inputting country, site, and study-specific details, users can create realistic simulations to assess how clinical trials will perform under different scenarios.
One of the key features of SAS CES is its ability to evaluate intervention strategies. Researchers can model different recruitment strategies and financial inputs to identify the most effective approach for meeting recruitment milestones. After running the simulation, users are provided with detailed reports that help to visualize and interpret the data, enabling them to make data-driven decisions to optimize clinical trial performance.
SAS CES also offers flexibility in handling various trial designs, allowing users to explore how different parameters such as site locations, patient demographics, and budget allocations affect the overall trial outcomes. This makes it a crucial tool for trial managers looking to refine their recruitment strategies and improve financial planning.
By leveraging this simulation tool, clinical trial teams can anticipate challenges in the recruitment phase, mitigate risks, and allocate resources more effectively. The result is a more streamlined and cost-efficient trial, with a higher likelihood of meeting enrollment milestones on time.
In summary, SAS Clinical Enrollment Simulation provides a comprehensive solution for optimizing the clinical trial enrollment process. Whether you’re evaluating intervention strategies, managing recruitment, or assessing financial performance, this tool can help improve decision-making and ensure the success of your clinical trials.