As the healthcare industry looks to transition to value-based care and new payment models that reward quality instead of quantity, healthcare organizations are seeking technologies that can help them improve patient outcomes and ultimately lower costs.

One such area is predictive analytics, which provides organizations with the ability to identify patients who are at risk for complications or expensive treatments. Some organizations are already using predictive analytics to identify patients who are at risk for readmission.

Register or login for access to this item and much more

All Health Data Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access