86 percent of clinical trials fail to reach recruitment targets. Reltio Enterprise 360 Site Intelligence helps you beat those odds by helping you harness the power of unified, reliable, real-time data.
Use our graph technology with unified third-party industry and reference data to uncover relationships between PIs, study sites, HCOs, and HCPs. Rank study sites and PIs based on past performance and expertise.
Use our real-time operational data and analytics to optimize study start-up and site initiation while reducing delays. Increase the potential pool of study sites, PIs, and patients while optimizing enrollment.
Find the best principal investigator for your study.
Search all available HCOs/sites and HCPs/investigators based on the most up-to-date information. Collaboratively rank and select the PI based on qualitative criteria and quantitative metrics.
Uncover relationships to reveal insights.
View relationships between PIs, study sites, HCOs, and HCPs to reveal valuable insights. See dynamic hierarchical data in an at-a-glance view.
Although regulatory approval time for new drugs in the United States is shortening, the time needed, on average, to complete clinical development of those drugs is lengthening by a greater amount, leading to longer times to develop and bring new drugs to market in this country.
TUFTS CENTER FOR THE STUDY OF DRUG DEVELOPMENT, July/August Tufts CSDD Impact Report, 2020
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Deliver data-driven insights for precise recruitment and high-quality research studies.
Uncover the valuable insights hidden by traditional databases. With Reltio Site Intelligence your research teams can...
the key criteria for site selection, based on each new protocol, leveraging experience and results.
all available HCOs/sites and HCPs/investigators based on the most up-to-date information.
ranking of HCOs/study sites and HCPs/PIs based on defined performance metrics and weightings.
study sites and PIs based on quantitative and qualitative criteria, such as adverse events and alignment with intervention/treatment areas.
Identify and rectify
data quality problems and have full auditability through a built-in dashboard for data governance and stewardship.
consent, contracting, and collaboration workflows.