Give your trial the best chance of success.
See how IQVIA can help reduce non-enrolling sites and increase enrollment speeds up to 30%. Our insight-driven approach to site identification integrates real world data, machine learning, and predictive modeling to prioritize the best performing sites and help you reach milestones faster.
Predict top-tier investigators for higher enrollment rates
Through the power of the IQVIA CORE, our clinical trial experts can bypass the low performers and instead prioritize the top potential recruiters -- speeding enrollment and your study completion. To validate this approach, we put it to the test against the universe of our >500 ongoing clinical studies. See the impact based on actual enrollment rates below.
Site identification powered by analytics, not opinions
In traditional clinical trials, sites are selected based on experience and relationships – with less than stellar results. IQVIA has developed a more precise way to predict the best-performing sites and investigators. This approach integrates
- Unmatched data, including observed quality and risk factors, patient access, site location and previous experience
- Advanced analytics to predict site performance using models to identify the most appropriate investigators based on the indication and the sites most likely to achieve highest enrollment
- Transformative technology to integrate data and provide insights to identify best-performing sites
- Extensive trial expertise to assess quality of sites based on key risk indicators and to guide and interpret the process
A network of high-performing sites
IQVIA has alliances with investigators in clinics and hospitals of every size, linked to prime and partner sites worldwide. This global reach lets us identify the right patients - and engage the right sites - to go from insight to action.