Covance Is Now Labcorp Drug Development

We are one global company innovating for millions – together, continuing to bring you more advanced medical breakthroughs.

Learn More

Xcellerate Spatial Cluster Analysis

The award-winning Xcellerate Spatial Cluster Analysis guides the selection of sites based on location of eligible patient clusters to improve study planning and accelerate patient enrollment.

Leverages historical investigator recruitment performance data and real-world diagnostic data

Identifies high-quality and high-performing research sites near patient densities

Drives actionable insights to optimize site/country configuration for a specific study or program

Value it Brings to the Outcome of a Trial

Xcellerate Spatial Cluster Analysis matches de-identified patient clusters who meet study eligibility criteria with historically high-performing sites to create higher probability of meeting recruitment milestones.  

Overview:

Xcellerate Spatial Cluster improves site selection and optimizes clinical trial design. It harnesses the collective power of our unique-to-the-industry proprietary investigator recruitment performance analysis derived from data on more than 50 percent of all global studies and real-world diagnostic data sets, including 30 billion+ test results from over 50% of the U.S. population. It allows us to examine the impact of inclusion and exclusion criteria on the available patient pool. Xcellerate Spatial Cluster Analysis can also identify additional locations where eligible patient densities exist but are a long distance from known investigators, allowing for focused investigator expansion activities.

Spatial Cluster analysis is a customized statistical methodology that identifies the intersection between patient clusters and the most productive sites.

Spatial Cluster analysis is a customized statistical methodology that identifies the intersection between patient clusters and the most productive sites.

Benefits of Xcellerate Spatial Cluster Analysis:

  • Predictive: leverages historical investigator recruitment performance data and real-world diagnostic data
  • Effective: identifies high-quality and high-performing research sites near patient densities
  • Efficient: drives actionable insights to optimize site/country configuration for a specific study or program 

Performance Metrics:

Patient density 63% better vs. the industry in Cardiovascular – Global – Phase I-IV studies
Patient density 47% better vs. the industry in Musculoskeletal – Global – Phase I-IV studies
Spatial Cluster Analysis identifies patient clusters with no investigator nearby to identify opportunities for development.
Xcellerate Site List Look sample screenshot chart

Schedule a Meeting/Demo

Contact Us