In America’s quest to improve the health of chronically ill populations, what is often ignored but matters most is what’s happening at the individual level. It is important to understand that no two individuals have the same health risks – a fact that is critical to developing effective care plans that optimize clinical resources and maximize clinical outcomes.
Successful outcomes also require engaged patients. The right combination of claims analytics and predictive science can provide specific insight into an individual’s risk drivers and motivators to improve their health.
“Driving Health Improvements through Greater Patient Engagement” explores the science behind building the right stratification tiers, predictions and scores to improve stratification for better health outcomes. Case examples will be presented that illustrate where this approach was taken and its impact on population health management. |