How Predictive Analytics Can Help You Improve Healthcare Value

There is no doubt that robust data analytics are critical to managing rising healthcare costs and clinical outcomes. Analytics gives you a deep understanding of where your member population stands today. But the true utility of analytics lies in the ability to answer your next questions: Why are these trends happening, and what should I do about it?

Predictive analytics identify patterns in your data to help you understand what will likely happen to your members in the future.

For example:

• You already know that half of those patients treated for heart failure return to a hospital within six months. What you need to know next: Which of your members are at greatest risk for readmission?
• You know, a third of drug prescriptions go unfilled. What you need to know next: Which members forego medication and other types of care—and how does this affect their health status?