Bill Siwicki

Both supervised and unsupervised machine learning can help executives better enhance care delivery, Stanford algorithms expert says.

As the amount of available health data explodes, executives must learn how to dig through it to get to the key performance indicators, the dean of UC Berkeley School Of Public Health says.

The excitement that Big Data brings is matched by the confusion about exactly what the technologies can do, according to Leonard D’Avolio. And that is as true in healthcare as anywhere else.

The hospital tested CareLoop technology and found that both clinicians and patients responded very positively to the social-style method for keeping up to date on care.

By leveraging analytics and patient engagement, Compass developed a strong care management team and created a 360-degree view of patient care.

Healthcare organizations are going to need all of them to compete and thrive in the next generation of healthcare, according to Onpointe chief medical information officer Terry Sullivan.

The health system transformed itself to tap into timely information to make care services more attractive to its own employees and as a result positively impact patient outcomes.

Homegrown care platform enables real-time messages when enrolled patients get discharged, admitted to another facility or present symptoms. And within the hospitals it serves as a documentation tool for all interactions.

Expanding Medicaid coverage in Oregon increased the use of care services and improved overall health while diminishing financial strain on patients. Here’s what healthcare executives and policymakers around the country can learn from the experiment.

The hospital's multidisciplinary care teams track patients in real-time and can mount interventions to correct lagging performance. And Mass General’s clinical director of population informatics Adrian Zai, MD, said that doctors like the program.