Design trials that
actually enroll.
Optimize inclusion/exclusion criteria against real patient populations to eliminate protocol amendments and accelerate site selection.
Stop guessing.
Start calculating.
Over 50% of clinical trials experience significant delays due to poor enrollment. The root cause is almost always overly restrictive, theoretical inclusion/exclusion (I/E) criteria.
Frekil allows clinical operations teams to dynamically model I/E criteria against millions of real-world patient records. See exactly how a minor adjustment to a lab threshold or comorbidity exclusion impacts your eligible patient pool---before the protocol is finalized.
Dynamic Cohort Modeling
Instantly see the attrition funnel as you tweak protocol parameters. Find the sweet spot between scientific rigor and operational feasibility.
Precision Site Selection
Don't rely on historical site performance. Locate geographical clusters of eligible patients right now, and activate sites where the patients actually are.
Synthetic Control Arms
Use the same data infrastructure to construct external control arms, reducing the number of patients you need to recruit for the standard-of-care arm.