Accelerating Clinical Data Modernization with AI

Overview

Our client is a global clinical research organization managing over 10 million clinical records, relying on timely, high-quality data to run efficient trials and accelerate patient enrollment across sites worldwide.

Business Complexity

Legacy data platforms, fragmented data sources, and poor data quality across 10M+ clinical records slowed trial operations, delayed site onboarding, increased licensing costs, and limited AI-driven decision-making.

Action

  • Built a cloud-native clinical data platform on Microsoft Azure and Databricks that unified enterprise data.
  • Automated data pipelines and improved data quality across internal and external sources.
  • Enabled AI-powered analytics and accelerated patient enrollment through predictive models.
  • Enabled enterprise-wide clinical data modernization by consolidating data sources, improving trial data reliability, accelerating clinical site engagement, reducing operational costs, and creating a scalable foundation

Tech Stack

  • Microsoft Azure
  • Databricks
  • AI/Predictive Models

Impact

  • $3M Annual Savings through Data Modernization
  • 25% Faster Engagement with Clinical Trial Sites
  • 60% Faster Patient Enrollment Across Clinical Sites