AI & Data Analytics

The company uses genomics and AI to improve health.

6 points that could enhance patient access measurements.

Leica Microsystems says the tech enables surgeons to make critical decisions when they matter most.

Technology and medicine aren't just crossing paths, they're converging. What does a happy medium look like?

The company touted its “trust and transparency” software services as a hammer to the black box of artificial intelligence.

FHIR could help health systems achieve interoperability.

Fitbit Care uses health coaching and personalized digital health interventions. It also provides health systems, insurers and employers with enterprise-level data.

Humana will hire as many as 250 people to staff an analytics center in Boston, but the company is still nailing down the details.

There are three significant challenges that health systems need to address to overcome the artificial intelligence adoption gap.

Apple's newest wearable has the potential to open new doors to yet unimagined ideas and concepts in healthcare. It also has the potential to freak people out for no good reason, and overburden physicians.

Is this the key to fighting physician burnout?

Even the federal government must overcome internal data silos, a new report says.

Patients said they think apps could help pain management, but a study found called the power of mHealth into question.

When physicians and hospital executives don’t see eye to eye, problems arise. Both groups must work together to bridge the Clinical Divide.

Virtual care, innovation versus implementation, and the new Apple Watch all carry big implications for healthcare.

It’s time to break down health information silos.

As Hurricane Florence strikes, HIEs are working to connect displaced patients to their medical records.

Author and entrepreneur Joshua Gans joins Data Book to pinpoint the healthcare pain points where AI is best suited to improve efficiencies and outcomes.

A group in Utah wants to improve social determinants of health in two cities — and then everywhere else.

Disruption is a difficult game, especially for healthcare startups, whose innovative ideas are a dime a dozen, but whose implementation strategies are often murky at best.

On the flip side, current incentives are driving many of healthcare's worst behaviors.

Data, access and money challenges face mental healthcare, but there is some promising new tech.

EHR customization and poor training can result in problems, causing experts to call for change.

As researchers use big data to improve health, they’re bumping up against the hard limits of a fragmented healthcare system.

These days it seems like everyone has set their sights on disrupting healthcare. Who's really making news, and who's just making noise?