Gruve implemented an AI-powered agent for clinical trial candidate matching using secure, zero-copy Retrieval-Augmented Generation (RAG). This solution helps patients find the right trials, enables recruiters to pre-qualify candidates with ease, and ensures end-to-end HIPAA/GDPR compliance by eliminating the need to duplicate sensitive patient health information across systems.
Higher enrollment rates through intelligent pre-screening and routing
In manual screening workload
This solution was designed for large Health & Life Sciences (HLS) organizations, including pharmaceutical companies, hospitals, and clinical research organizations (CROs), that conduct complex and large-scale clinical trials. These clients often manage sensitive patient data and face urgent needs to accelerate recruitment while maintaining regulatory compliance.
Patients frequently encounter difficulties navigating fragmented clinical trial databases and understanding eligibility criteria. Meanwhile, clinical recruiters and coordinators are overwhelmed by the manual workload of screening candidates and responding to inquiries. Traditional methods of trial matching often involve transferring sensitive health data across systems, exposing organizations to privacy, compliance, and cost risks.
AI-powered agent conducts eligibility surveys and answers patient questions
Zero-Copy RAG enables real-time document retrieval without PHI duplication
Secure integration with Salesforce Life Sciences Cloud and Snowflake
Automatic triaging of high-potential candidates to recruiters
Unified view of patient-trial data across structured and unstructured sources
The solution dramatically reduced the time and cost associated with manual clinical trial screening. Patients received instant answers to common questions and could quickly determine eligibility. Recruiters gained a streamlined workflow, enabling higher enrollment rates and improved operational efficiency—all without compromising data security or regulatory compliance.