In a recent Phase III, type 1 diabetes trial: We used our proprietary machine learning-enabled site selection to generate a comprehensive picture of the right sites considering factors like available patients, predictive performance and quality model scores.

We complimented this approach with analytics-driven recruitment support including arming CRAs with patient density data in the 25-mile vicinity and deployed a direct-to-patient, online marketing campaign to help drive patient recruitment rates up by 36% and increase recruitment speed by 45%.

The combination of these efforts reduced the number of non-enrolling sites by 44%, offering the customer improved efficiency.