News

3 barriers that hospitals must break down. It's not all about the money.

How analytics and other high-tech tools can reap better insights.

Jyotsna Mehta, the owner of the analytics firm KEVA Health, provided a 4-step framework to make the big data problem a little smaller.

It's time, experts said, for executives and employees to adapt.

A study of diabetes diagnoses and long-term health points to the numbers' softer side.

How diagnoses can progress from the "19th-century Oslerian blueprint."

“The data has gotten better, and our ability to interrogate it has gotten better. But it has always been dirty.”

Healthcare can strive for actionable data, especially regarding social determinants of health, a Lumeris executive says.

Analytics might be able to help defeat the so-called “Lasagna Law" of diminishing study subject availability.

A HIMSS expert details what hospitals need to know.

The move enables One Drop to sync with a sizeable share of the wearables market.

An agency leader says the process should continue “throughout the total product life cycle.”

“They have more janitors at these hospitals than they do security people.”

Sharing algorithms can benefit healthcare research and society at large.

A HIMSS expert says everyone needs to increase their cybersecurity literacy.

A study found vulnerabilities in 21 top apps, including 18 that leaked private data.

A bioethicist said the information ends up being used in the same ways, which is what research contributors care about most.

A single case underscores the need for clinicians and hospitals to look beyond regulations when seeking consent.

“Consumer wearables fall between the cracks of what is already a fragmented and not particularly powerful set of government safeguards."

“The patients were the most interested in the technology. It essentially freed them.”

The researcher who helped shape HIPAA is now taking on gaps in patient data privacy nationwide.

Why a new debugger called DeepXplore could prepare artificial intelligence for the real world.

Why one expert is pushing to establish a fund to pay out victims.

“They’re only hypothetical in the sense that we haven’t had a catastrophic event yet. But we will.”

The administration is expected today to designate the opioid crisis a public health emergency. But what does that mean for patients’ data?

From 620,000 tweets, machine learning identified nearly 1,800 sales pitches for the deadly drugs.

“Overall, at the general population level, I've been actually surprised as to how well people understand it."

Children’s Hospital of Philadelphia and the next-generation sequencing firm analyzed 1,000 genomes in under 3 hours.