Connect sites safely, reach more patients, and make trial recruitment faster and easier.
Traditional site-to-site patient referrals are slowed by administrative complexity, regulatory barriers, and manual processes. Clinical research coordinators often need to visit other sites to access patient data, making it difficult to scale recruitment efficiently, reach diverse patients, or boost trial revenue.
Learn How Clinical Trial Recruitment Strategies Help Unlock New Revenue Channels
Administrative delays slow down matching and outreach
Regulatory limitations restrict how data can be shared between sites
Lack of interoperability makes it difficult to access unstructured data
Limited diversity when patients from underrepresented communities are left out
Revenue loss when sites can’t accept patients they can’t see
Existing clinical trial solutions focus primarily on patient screening but neglect referral workflows.
No automated, secure data pipelines
Limited collaboration between sites
No transparency into patient match logic
High operational overhead and IT costs
Kitsa reimagines patient referrals with a secure, AI-powered framework that accelerates clinical trial recruitment. Seamlessly integrated with existing EHR systems, it enables sites to share patient information safely and efficiently, without manual back-and-forth.
Boost patient recruitment 30–40% through referrals
Access more trials and earn $1M–$4M annually
Reach underrepresented patient populations
Show speed, compliance, and scalability
Cut 4–6 weeks of manual screening per trial
Kitsa is an AI-powered clinical trial solutions platform and marketplace for clinical research organizations, hospitals, and independent research sites. We help sites increase revenue, gain visibility with Pharma sponsors, reduce administrative costs, and recruit patients faster through AI-based matching, explainable insights, and secure referral networks.
"Kitsa transformed our patient recruitment model. We saw immediate multi-
million-dollar revenue potential and dramatically cut screening failures."
- Clinical Research Philadelphia
