Analytics

Hospitals are proving the merits of machine learning and cognitive computing, but deep learning and data dependence are key.

With AI tech being so complex to implement, we've compiled some essential areas to focus on to prepare for this emerging technology.

But what are limits today will soon become opportunities, as health systems sit on mounds of data ripe for integration into AI.

Hint: It’s going to require working with a lot of hospital departments outside the IT shop.

They’re all in this month’s HIMSS cybersecurity report along with Philips, Siemens and Smiths Medical.

Early success stories in hospitals show how these emerging data types are fated to become critical to population health.

The informatics group calls for dedicated roadmap for standards, including a framework for how multiple standards should fit together to support data exchange.

Company’s services and technology are designed to help health systems uncover and address variations in procedures, the better to improve care and cut costs.

As the technologies mature, accountable care organizations are reporting big savings, delivering more primary care services, and reducing unnecessary emergency visits.

The CIO of Beth Israel Deaconess Care Organization says its population health platform has helped manage disparate data, but he still wishes vendors and payers would help manage the burden of value-based care.