Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
SHARE THIS:

11 years ago
Five Ways Predictive Analytics Can Improve Patient Outcomes

 The use of analytics in healthcare is gaining momentum as the industry shifts to a value-based delivery model. Hospitals and health systems are searching for the ability to identify patient activity, reduce cost, and increase the level of engagement of both the physician and the patient. This is where predictive analytics enters into the equation. Predictive analytics allows hospitals and health systems to use technology and statistical methods to derive insights from massive amounts of data to inform future interactions with patients, prospects, and populations. The end result? Increased patient activation, lower cost of care, better clinical outcomes,

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.