CRO Achieves Rapid Response, Increased Acceptance Rate Via Data-Driven Clinical Trial Site ID and Outreach Approach

A top-five global contract research organization faced inefficiencies from manual, paper-based processes in clinical trial site identification and outreach, which burdened both the CRO and study sites. TriNetX provided a data-driven approach intended to make site identification and outreach more efficient and cost-effective, and to expand the CRO's network of healthcare-organization relationships. The landing page itself does not state the specific acceptance-rate figures (e.g. the 17% to 32% improvement referenced in the prior description) -- it indicates those results are in a downloadable case study not accessible via this fetch.

TriNetX is a federated real-world-data network where data stays behind each health system's firewall and is queried in place, used for cohort discovery and trial-site feasibility.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.