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Xcellerate Protocol Design Tool

The Xcellerate® Protocol Design Tool is the only analytic tool in the industry that leverages de-identified diagnostic data from one of the world’s largest sources of lab result data. It synthesizes 30 billion+ diagnostic test results from over 150 million people across more than 5,000 assays to improve the likelihood of recruiting success.

Accurately models the number of people that meet the study criteria

Geolocates eligible patient pools based on lab values, demographics, and diagnosis codes to help accelerate patient recruitment

Maximizes the available patient pool and pinpoints geographic clusters of patients

Value it Brings to the Outcome of a Trial

To more efficiently recruit and fill your trials, Xcellerate Protocol Design Tool can accurately assess the number of people that meet the study criteria, model the data to maximize the available patient pool and pinpoint geographic clusters of people who fit the defined eligibility criteria.

Overview:

One key to study success is awareness of protocol flaws that can lead to recruitment delays. With proper awareness, these flaws can be designed out or accounted for in planning. The Xcellerate Protocol Design Tool can answer design questions and determine the patient pool size and impact of inclusion or exclusion data such as age, test result ranges, co-morbidities and genomic information. From there, adjustments can be made to increase the likelihood of reaching recruitment goals. Using the Xcellerate Protocol Design Tool has contributed to accelerating patient recruitment. 

Xcellerate Protocol Design Tool

The protocol inclusion criteria is applied to the patient pool, then matching patients are geolocated on the map.

Protocol Design By the Numbers:

Site activation to last patient in 4.2 months faster vs. the industry
Recruitment rate 14% faster vs. the industry
Screen failure 26% fewer vs. the industry
Patient density 63% better vs. the industry

Oncology – Global – Phase I-IV

Benefits of the Xcellerate Protocol Design Tool:

  • Predictive: accurately models the number of people that meet the study criteria
  • Efficient: geolocates eligible patient pools based on lab values, demographics, and diagnosis codes to help accelerate patient recruitment
  • Effective: maximizes the available patient pool and pinpoint geographic clusters of patients. Also has ability to look longitudinally across patient populations over time.
  • Accurate: leverages our unparalleled access to de-identified LabCorp diagnostic data to maximize the patient pool while preserving endpoints.
  • Timely: facilitates quick turnaround time to pressure test multiple scenarios
  • Well-designed: better assesses the impact on patient pool size, screen failure rates and determines sample size calculations

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