Know what your
protocol needs before it locks

What conventional feasibility may not show you

Diagnosis codes and historical site performance can indicate where a population may exist. They don’t necessarily show how many patients meet the full protocol criteria, which criteria will drive screen failure, or whether the sites traditionally used for trials are where those eligible patients are actually receiving care.

How our real-world data ecosystem helps you know what others can’t

At this stage, your team can start with an eligible-patient count built against the inclusion criteria you actually plan to use, drawn from the most comprehensive view of U.S. patients on the market. From there, a natural history cohort follows those same patients across care settings and payer changes, ready to serve as an external comparator that stands up to ICH M14 expectations. Sites get chosen based on where your target patients actually receive care today, not where investigators have run trials before.

And because all of it lives on the same connected patient data your launch teams will still be running years later, your team defines the cohort once. That definition still holds at launch, without rewriting the criteria for a new dataset.