The rapid growth of AI-powered health tracking, driven by wearable devices and cloud integration, is producing unprecedented volumes of personal health data. While this enables real-time monitoring ...

In the last decade, the volume of clinical trial data has surged, presenting unprecedented challenges for sponsors and contract research organizations (CROs). The task of collecting, cleaning, ...

The clinical trials arena is becoming increasingly data-driven, with demand growing for sponsors to have real-time data access and ongoing updates throughout a study rather than just a final report.

In 2026, cloud-based platforms are accelerating AI integration into clinical research, enabling scalable data access, advanced analytics, and cross-institution collaboration. Initiatives like the Mayo ...

As hospitals and health systems of all sizes seek to manage complex patient populations, identify savings opportunities, reduce operational inefficiencies and prepare for value-based care models, the ...

Healthcare organizations are investing rapidly in AI and advanced analytics, yet many struggle to translate clinical data into tools that are safe, equitable, and useful in real care settings.

The folks at Penn Medicine know a little something about putting data analytics to work. After identifying three years ago that their sepsis mortality rates were higher than expected, they set out to ...

MaxisIT, a leader in AI-driven clinical data analytics, launches DTect AI as part of its eXchange Data Management Workbench to accelerate clinical development. EDISON ...