AI & Data Analytics

A new study found that manual editing is critical.

Virtual reality does more than improve medical education.

Why referential matching could prove beneficial to health systems.

Advanced tech continues to focus on the retina.

There’s no time like now for rural healthcare providers to consider ways to strengthen their practices.

Why the FDA might look favorably upon such efforts.

How cutting-edge research into tech and diabetes rocked ADA 2018.

Exploring the digital ripple effects of an attempt to address a public-health problem.

How one man is making Oklahoma the Silicon Valley of Health Data Analytics.

But medicine is competing with every other industry for these valuable employees.

Predictive algorithms, GE Healthcare, IBM Watson, and more.

The AI company promoted its approach to fighting the disease at ADA 2018.

How they plan to improve pop health, care, and research.

Healthcare can learn from self-driving cars’ fatal lessons in liability.

Former IBM Watson employees say it’s good to be nimble.

How Oklahoma’s Center for Health Systems Innovation is changing rural healthcare.

Direct-to-consumer tests could improve medicine, but healthcare must prepare for the adverse effects.

From the farm to the Oval Office to the clinic, AI must account for context.

Northwell Health explains how it implemented self-service analytics.

Janae Sharp joins Data Book to discuss the shortcomings of interoperability.

Why you can’t ignore data, analytics, and value-based care.

The precertification model would apply to med-tech orgs of all sizes.

The agency released a strategic plan and intends to hire a data chief. Why?

Silos prevent scientific advancements from flowing into the clinic quickly, the agency says.

DreaMed Diabetes aims to personalize disease management.