Clinical Trial Optimization with AI
Global Pharmaceutical Company
Our AI solution helped a pharmaceutical company optimize clinical trial site selection and patient recruitment, reducing trial duration by 23% and cutting costs by $7.5M per trial.
Trial Duration Reduction
23%
Cost Savings Per Trial
$7.5M
Challenge
The pharmaceutical company was facing significant delays and cost overruns in clinical trials due to inefficient site selection and slow patient recruitment. These issues were extending time-to-market for new drugs and reducing competitive advantage.
Solution
We developed an AI-powered platform that analyzes historical trial data, site performance metrics, and patient population data to optimize site selection and recruitment strategies. The solution includes predictive models for enrollment rates and site performance.
Our Approach
- 1
Analyzed historical data from over 500 previous clinical trials
- 2
Developed predictive models to identify optimal trial sites based on multiple factors
- 3
Created a patient matching algorithm to accelerate recruitment
- 4
Implemented real-time analytics dashboard for trial managers
- 5
Designed automated alert systems for recruitment milestones
Key Outcomes
23% reduction in overall trial duration from planning to completion
$7.5M cost savings per Phase III trial
42% improvement in initial patient recruitment rates
35% reduction in site non-performance issues
Increased prediction accuracy for trial completion timelines
Technologies Used
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