Advanced analytics has transformed the benefits industry. Now, you need big data to effectively guide your healthcare decisions – and that can be overwhelming. With Cairnstone Benefits Group, you gain control over the drivers of healthcare cost quickly and easily.
Our state-of-the-art analytics and predictive modeling technology lets us tailor cost-effective benefit plans, forecast future risks, identify cost control measures, unlock population health strategies, leverage plan renewals, and more. Together, these activities help your organization reduce risk, improve employee health, and achieve significant benefit cost savings.
How our analytics system works
Our automated platform captures employees’ pertinent health information from biometric screenings, health risk assessments, and claims. Then, our high-tech modeling tool, powered by Johns Hopkins ACG®, converts it into an accurate prediction of the long-term health of your employees. The system flags potential high risk activity, which allows us to help people early with clinical case management or educational coaching aimed at disease prevention and management.
Meaningful, actionable information
Our easy-to-understand, monthly reports detail valuable insights by analyzing overall behavior and patterns. Your Cairnstone team reviews your analytics report and makes recommendations to maximize your benefit plan. As a result, you can wisely invest resources where they most impact your employees and bend the cost curve. Our analytics platform delivers insights that:
- Identify high risk individuals and those with chronic conditions
- Spot gaps in care
- Produce risk scores and cost predictions
- Reveal case management or disease management opportunities
- Calculate ROI of wellness and disease management solutions
- Improve benefit plan design with strategies for cost control, compliance management, and employee outreach
The fully-automated system receives daily data uploads and scheduled regulatory updates, so you can make timely decisions based on the latest facts.