Platform Architecture
Trial Scanner optimizes how clinical trial information reaches relevant audiences through advanced audience modeling and optimized advertising delivery. The platform is designed around compliance, privacy, and the voluntary nature of research participation.

Core Design Principle: Trial Scanner optimizes how clinical trial information reaches relevant audiences. The platform does not attempt to identify individuals with specific medical conditions, access medical records, or monitor private patient communities.

AI Audience Modeling Engine
Publicly available signal analysis only, no PHI access

Recruitment Analytics
Ongoing visibility into campaign and funnel performance
System Architecture
Analyzes publicly available digital engagement patterns to identify audience segments where information about a specific clinical trial is likely to be relevant. The system does not access medical records, private health communities, or protected health information.
Manages delivery of recruitment advertising through standard digital platforms such as social media networks and search engines. All campaign materials are structured to support IRB review prior to deployment.
Guides interested individuals through a structured intake process based on study-specific eligibility criteria. Data handling is designed to be consistent with HIPAA requirements and applicable data use agreements.
Provides ongoing visibility into campaign performance, including outreach reach, engagement, pre-qualification completion, and referral volumes, to support data-informed campaign management.
Schedule a demonstration to see how the Trial Scanner platform can be applied to your specific trial requirements.