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, ...

"Health Elements AI was founded to make clinical data more accessible and usable for the teams responsible for quality and performance," said Jeff LeBrun, CEO of Health Elements. "Together with ...

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.

As we move through 2026, healthcare provider operations are experiencing their most significant technological shift in decades, with AI and advanced data analytics moving from theoretical concepts to ...

Hospitals and care providers are increasingly turning to data-driven tools, predictive analytics, and AI to improve staffing, patient follow-up, and operational efficiency. From forecasting patient ...

Discussion at the Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2026 recognises that artificial ...

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 ...

Rare disease research operates under conditions of extreme complexity. These pressures are driving new approaches to evidence ...

A primary challenge in finally achieving high value healthcare in the US is discovering how to harness the comprehensive and nuanced data generated in the provision of care, which is available in each ...

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.