Optimizing Clinical Trial Recruitment for a Biopharmaceutical Leader
Discover how a global biopharmaceutical leader partnered with v4c.ai to streamline clinical trial recruitment using AI and machine learning from Dataiku. By automating patient matching and optimizing trial design, they reduced recruitment timelines, improved trial success rates, and cut costs, accelerating the delivery of life-changing therapies.
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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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