Optimizing Disease Management Programs Using Predictive Modeling

Summary: Here's an easy to understand example of how predictive analytics can reduce cost while increasing efficacy of disease management programs. Healthcare providers have made major breakthroughs over the last two decades by creating and implementing increasingly sophisticated disease management programs (DMPs). At their core there are always two motives, improve the human condition by preventing lesser symptomologies from becoming more severe diseases, and secondly to reduce total systems cost by using less expensive DMPs to prevent or delay the onset of a disease more costly to treat. In the last few years, the most advanced and analytic of healthcare providers have discovered that DMPs themselves can be optimized using the rapidly spreading techniques of predictive modeling. This is a hypothetical example of how a DMP can be optimized in this way.