Healthcare & Life Sciences

Optimizing Clinical Trial Recruitment for a Biopharmaceutical Leader

Optimized clinical trial operations for a global biopharmaceutical company using AI and machine learning, reducing recruitment timelines by 35%, increasing trial success rates by 30%, and lowering costs by 27%. This solution accelerated therapy delivery while enhancing trial efficiency and inclusivity.

35%
Reduced recruitment timelines
30%
Improved trial success rates

Challenge

‍
A global biopharmaceutical company faced persistent challenges in clinical trial operations, including complex and inconsistent eligibility criteria, fragmented patient data, and recruitment bottlenecks. These inefficiencies resulted in lengthy recruitment timelines, high costs, and limited diversity in trial participants, ultimately delaying the delivery of new therapies to patients.

Solution

‍
The company collaborated with v4c.ai to optimize clinical trial operations using AI and machine learning capabilities from Dataiku. Automated tools streamlined eligibility criteria and patient matching processes, reducing recruitment bottlenecks. AI-driven systems also minimized control group sizes, improved patient search assistance, and enhanced trial design for greater inclusivity and efficiency.

Outcomes

  • Faster Recruitment: Reduced recruitment timelines by 35%, accelerating trial initiation.
  • Increased Trial Success Rates: Improved trial success rates by 30% due to better participant matching and design optimization.
  • Cost Savings: Lowered trial costs by 27%, enabling more efficient use of resources.

This AI-powered approach revolutionized clinical trial processes, positioning the biopharmaceutical company to deliver innovative therapies to patients faster and more cost-effectively.

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