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Optimizing Clinical Trial Planning with AI-Driven Site Selection

One of the biggest pharmaceutical company

A retrospective analysis showed that 90% of trials using model-recommended sites outperformed those with lower scores, increasing the success rate and reducing planning costs.

Meet our client

Client:

One of the biggest pharmaceutical company

Industry:

Healthcare / Pharma

Market:

US

Technology:

LLM

Client’s Challenge

The client sought to reduce the costs of clinical trial planning by optimizing the selection of health facilities capable of enrolling
a sufficiently large and diverse group of patients.

Our Solution

We developed and maintained a series of pipelines to identify suitable facilities based on key metrics. A custom dashboard was also created to enable decision-makers to plan and manage clinical trials effectively.

Client’s Benefits

The client successfully adopted the model, significantly improving the efficiency of their site selection process. A retrospective analysis showed that 90% of trials using model-recommended sites outperformed those with lower scores, increasing the success rate and reducing planning costs.

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