In recent years, we’ve made some pretty significant strides in our use of data analytics for RightOpt®, our private health insurance exchange. We’ve evolved from basic claims data mining to using it to truly understand the population health: it’s shown us what conditions are prevalent and how well they’re being managed, allowing us to identify – and close – gaps in care.
What’s missing from our analyses is information on the behavior of a population as it engages with the health care system.
In partnership with Castlight Health, Truven Health Analytics, and Harvard University, RightOpt is undertaking groundbreaking research in this space. Together, we’re building data models that will dive deeply into the ways our exchange members interact with our consumer tools, giving us insight into how these experiences influence outcomes and costs. We’ll be able to investigate the impact of integrating cost and transparency tools with our personalized messaging strategies to understand where our communications efforts have the most impact — so we can refine our engagement strategies, enhance our messaging engines, and more effectively deliver the most actionable information to RightOpt members.
We’re excited about the impact this will have: not only will it lead to greater efficiencies overall, it will bring better outcomes for employees and will lower costs and increase productivity for our employers.