Leverage Scientific Information:
Integrating Retailer Customer Data and Advanced Analytics for Targeted Clinical Trial Recruitment

Situation

  • Length of time for clinical trials are heavily influenced by how long it takes to fully enroll the clinical trial in addition to the actual time of patients in the clinical trial
  • Pharmaceutical companies would like to identify appropriate individuals for clinical trial enrollment, potentially in a more targeted and efficient manner
  • A “big box” retailer with a large customer database is approached by a pharmaceutical company to see if there is a possibility for a partnership to enroll a trial in a target disease

Challenge

  • There is no precedence or playbook for a partnership between a pharmaceutical company trying to enroll clinical trials and a “big box” retailer with customer data
  • Factors associated with the target disease are unknown and disparate, making the identification of potential individuals with the target disease difficult without a blood test and cost prohibitive to test everyone
  • No method or process exists to identify patients with high likelihood of target disease
  • Clinical trials sites may not achieve target enrollment due to lack of being able to identify target patients and lack of target patients near clinical trial sites

The Xelay Approach

  • Developed a first-of-its-kind process leveraging “big box” retailer customer data to identify and risk stratify individuals with high likelihood of the target disease for clinical trial screening and enrollment
  • Conducted literature search and evaluated evidence strength of supporting data of >1,800 reference sources and incorporated AI model results to identify potential factors associated with target disease
  • Designed and executed multivariable regression analyses to estimate magnitude of risk for each risk factor and utilized the results to generate an easy to use rubric tool to assess a patient’s likelihood of disease
  • Overlaid geographic location of high risk individuals with clinical trial sites to identify target individuals for clinical trial screening

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