Published on July 11, 2017
Please allow us to introduce Matt and Jim. They are both non-smokers and a little overweight, not unlike many men their age. Looking at traditional electronic health records or claims-based demographic and clinical data, one would conclude that Matt and Jim are in relatively good health. No health system, insurer, or policymaker would be likely to differentiate them.
Are These Two Patients The Same?
When it comes to future healthcare costs, predictive modeling using consumer data reveals a far different picture. Jim is more socially isolated than Matt, and probably lacks the emotional support and encouragement needed to adopt and adhere to a health improvement plan. Jim is also more likely to develop co-morbid behavioral health issues that correspond with depression, substance abuse and physical inactivity. Jim’s consumer data shows that he is a very different type of pre-diabetic patient than Matt – one who is on track to incur dramatically higher healthcare costs.
Consumer Data Tells You That They’re Not!
Traditional healthcare data analytics misses the social and physical determinants of health that influence an individual’s current and future health status. Environmental, behavioral, economic and demographic factors are responsible for about 90% of health and cost outcomes, but are largely invisible to today’s healthcare industry.
Using Carrot MarketView™, healthcare professionals can analyze social, demographic, and other determinants of health to determine which populations are most at risk – and to design cost-effective interventions for improving health. To learn more, schedule a demo today.