Barrier-busting Approaches to Patient Recruitment

Patient recruitment faces hurdles such as trial hesitancy, complex eligibility criteria, and logistical barriers like travel distance and time commitment. Patients often fear side effects, worry about being “guinea pigs,” or lack clarity on what participation entails. These factors contribute to low enrollment rates.

Integrating real-world data (RWD) and feasibility tools helps sponsors predict recruitment outcomes, streamline site selection, and reduce operational delays. AI-driven simulations and real-time data refreshes enable dynamic adjustments to inclusion/exclusion criteria and recruitment strategies.

The third generation moves beyond traditional site-based and direct-to-patient advertising. It leverages proprietary data, RWD, tokenization, and AI to identify protocol-matching patients across a broader ecosystem, including healthcare practices not actively involved in research.