AI-enhanced Eligibility Assessment
AI-driven matching of de-identified participant data to protocol criteria — reducing manual review and improving assessment consistency.
Accessible to All
A patient-centric self-assessment tool enables individuals from diverse backgrounds to independently explore trial opportunities—no clinical expertise required.
Structured for Clarity
Eligibility results are presented in a standardized, easy-to-interpret format, reducing cognitive load and accelerating decision-making for both patients and site teams.
Criteria-Matched Line by Line
Every response is evaluated against protocol-specific inclusion and exclusion criteria, with transparent, itemized matching logic to ensure accuracy and auditability.
For clearly ineligible patients, experienced clinical reviewers—who are already familiar with the protocol—typically require 10-30 minutes for manual exclusion. With AI-generated screening reports, exclusion decisions can be made in 1–2 minutes, representing a 60–75% improvement in efficiency.
Real-World Impact
In practice, time savings and decision support vary by reviewer expertise and case complexity:
For complex or borderline cases, reviewers less familiar with the eligibility criteria often spend 8–10 minutes manually reviewing full records. Using the AI report, they first scan the structured summary in 1–2 minutes, then selectively review source documents for confirmation in 2–3 minutes, keeping total review time within 3–5 minutes. On average, this approach saves ~5 minutes per case, delivering over 55% gains in screening efficiency while enhancing consistency and reducing oversight.