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Clinical Trial Implementation Software: Enforesys
Anticipate enrollment challenges and optimize your trial operations with Enforesys. Our Monte Carlo Simulation software delivers accurate forecasts for informed decision-making.
Forecast Enrollment Reliably
Forecasting enrollment in clinical trials poses various challenges, including uncertain recruitment rates, variability in patient populations, site performance issues, protocol amendments, competing trials, and regulatory delays. Cytel helps you solve these issues with Enforesys, a purpose-built software solution widely adopted in the pharmaceutical industry.
Enforesys utilizes Monte Carlo Simulation to forecast enrollment probabilities accurately, automating simulation tasks and allowing you to interpret results easily. By providing realistic expectations, anticipating recruitment challenges, and enabling risk-mitigation plans, Enforesys empowers your clinical trial teams to navigate enrollment complexities effectively and ensure timely trial execution.
Data-driven forecasts
Use historical site-level data and other elements proven to affect enrollment to make accurate predictions of your enrollment milestone in either single- or multi-cohort trials.
Enhanced strategic insights
Choose the best strategy for your resources, flag potential challenges, and pave the way to a successful trial.
Improved trial predictability and success rate
Use the power of simulation to calculate a numerical probability of success for your strategies.
Guaranteed feasibility
Assess whether feasibility projections are realistic using simulation.
Reduced planning and reporting time
Explain enrollment strategy to your clinical teams with analytics and visualizations that are easy to communicate.
Reliably assess feasibility
Leverage thousands of simulations that factor into real-world assumptions and uncertainty to understand the probability of achieving milestones.
Monte Carlo Simulation
Monte Carlo Simulation is a computational technique used for risk analysis and decision-making in complex systems. It utilizes probability distributions to depict uncertain model inputs, recalculating the model numerous times to ascertain the likelihood of various outcomes. Ideal for complex scenarios like clinical trial enrollment planning, it assesses diverse inputs and generates predictive scenarios, offering probabilistic insights that are crucial for informed decision-making.
Claim your free 30-minute strategy session
Book a free, no-obligation strategy session with a Cytel expert to get advice on how to improve your drug’s probability of success and plot a clearer route to market.
