Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

Rethinking how data is used is essential for health systems as they face workforce shortages and an aging population.

From building consensus on the definition of responsible artificial intelligence to waxing on about semiautonomous health AI use cases, industry and government appear to be heading toward shared ...

Electronic health records (EHRs); insurance claims; patient registries; wearable tech: Never before has health data been so abundant. However, the United States continues to struggle with siloed ...

The Coalition for Health AI this past Friday unveiled news plans for how it would certify independent artificial intelligence assurance labs. The draft frameworks come as the group – comprising health ...

The healthcare industry generates about 30% of the world’s data. However, historically this data has been locked in silos and healthcare organizations have failed to generate real-time operational and ...

A new Apple-supported study argues that your behavior data (movement, sleep, exercise, etc.) can often be a stronger health signal than traditional biometric measurements like heart rate or blood ...

Imagine pricing a product that spreads on its own and benefits people who never even touch it. That might sound like science fiction, but it's remarkably similar to the story of health data and, ...