Improved data quality and transparency enhanced decision-making, providing clear insights for more efficient clinical operations.
Meet our client
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Client’s Challenge
Clinical trials for rare diseases require a specific pool of patients, often at limited locations, and can account for up to 35% of total costs. Effective site selection is crucial to save time, reduce costs, and minimize FDA rejection risk, but the challenge lies in working with incomplete and varied data.
Our Solution
We developed multi-node pipelines for Site Selection and Site Matching to master data, score patient recruitment potential, and locate sites geographically. Using ML, Graphs, and LLMs, the solution supports all clinical trial stages and includes tools for viewing model performance, adjusting pipeline weights, and comparing team recommendations for data accuracy.
Client’s Benefits
The solution optimized site selection, reducing costs and trial time while lowering the risk of FDA rejection. Improved data quality and transparency enhanced decision-making, providing clear insights for more efficient clinical operations.
