Bill Siwicki

The center is reaping the benefits of handing patients an iPad, including improved allocation of staff and receptionists time.

This is a big step forward, Google officials said, because the tech is not imitating an existing diagnostic but rather using machine learning to uncover a new way to predict health problems.

The hospital has outstripped its physical footprint, so analytics for patient placement has become critical while it awaits new buildings.

RadNet and vRad have deployed natural language processing tools to help them tackle over-utilization and help perform tasks that are challenging for humans.

The collaboration is all part of the health system's push toward value-based care.

Experts will address a range of topics from current challenges to the future vision of precision medicine.

In addition to focusing on value-based care, quality improvement and revenue cycle, the company will be highlighting its work with the newly-acquired Advisory Board Company.

Most of the rural hospital's challenges revolved around physician workflow, but encouraging partnerships between departments and ensuring the project was tackled organization-wide were other key strategies.

Don’t get lost in the complexity of large-scale use cases.

Researchers found that using machine learning algorithms pinpointed 25 percent more diabetics at risk of kidney damage than clinical tools and human judgment.