The same technology can even predict which patients are most likely to disenroll from a care plan, D'Avolio says.
"What makes machine learning so different is that you start with the outcome," he says. "You're taking a group of patients that were readmitted and a group of patients that looks a lot like them except they were not readmitted, and you're letting the math learn what makes group A different than group B."
While recognizing such patterns can be done by people, computers prove to be superior in recognizing more patterns faster than humans can.
So get ready for the next wave of analytics, one that may not rely so much on those analysts as today's analytics solutions. As companies such as Cyft gain traction, the economics, as usual, favor ever more automation.
Scott Mace is the former senior technology editor for HealthLeaders Media. He is now the senior editor, custom content at H3.Group.