To succeed in value-based care, providers are not only providing care but also expertly managing health across their patient population. Rather than only seeing patients who present at their office or facility, they’re being proactive by gaining deeper insight into their patients’ health and evaluating their risk. And to do it, they are amassing—and analyzing—the best data on their populations, practices and costs.
Using powerful analytic tools, providers are identifying their highest-risk patients and delivering better care at a better value.
For example, Aurora Health Care—one of the largest multi-specialty and integrated delivery networks in the United States—was able to reduce admissions among its highest-risk heart failure and COPD patients by 60 percent after assigning an operational planner to its predictive analytic model.
Cornerstone Health, a North Carolina provider group representing more than 250 physicians, used analytic tools to drill down into its electronic health records and identify gaps in patient care. For instance, Cornerstone used analytic tools to find diabetics with elevated blood sugar, cholesterol or blood pressure who had not been seen by a primary care physician. As a result, the provider group developed a patient advocate program staffed with certified medical assistants who, with the help of an analytical tool, were able to identify opportunities for engagement with patients outside of the exam room.
To learn more about how analytics can help organizations provide better care at a lower cost, check out this video featuring the stories of analytics users.
In our next post, we’ll examine how Indianapolis-based Community Health Network is managing its populations by building cohorts based on risk.