Tom's Take Blog
One Pro’s Perspective on Employee Benefits
Here at Cypress, we’re constantly fielding questions related to employee benefits and cost containment. And with his 25+ years of experience in third party administration, our company CEO and president has become a go-to source – or guru, as we like to call him – in the self-funded world. Tom Doney has been summoned to speak in front of the U.S. Department of Labor on cost control in health care and travels nationwide to deliver eye-opening conferences on the topic. In his new blog, Tom will continue to share his unique perspective and dive into all types of topics from medical advocacy to health claim management. Read along!
April 26, 2017
How does predictive modeling help health plans prepare for the future?
Tom’s Take: This is a great question, and I see “future” as the key word here. That’s because a health plan has to be looking ahead in order to reach its full potential for being effective, successful and cost-efficient.
Predictive modeling helps self-funded employers and plan sponsors do this. A self-funded plan is not like a fully insured plan where you receive incomplete data at year’s end with limited ability to reflect on what’s happened, after it’s happened. Instead, self-funding allows for predictive modeling, which lets you dig into complete data at any time to realize what your biggest risks are for the future and how to best manage them.
It works by doing a comprehensive review of data received through health risk assessments, biometric screenings and health claims (all in accordance with HIPAA guidelines to avoid identifying individuals). Things like diagnostic coding, prescription usage and lab test trends are studied to see what conditions will likely cost your plan the most to treat. These findings give employers a clearer picture of where to focus – and potentially adjust – their efforts in disease management and intervention.
The intervention part is big. Why so? Employers may discover a condition becoming more prevalent among their health plan participants, and since the data is accessible to them, they can be proactive about addressing it. This could mean everything from offering employees more educational resources to providing one-on-one health coaching … strategies meant to intervene early instead of waiting too long as costs add up.
Receiving (and reacting to) health plan data after the fact doesn’t allow much ability to plan for the future. Predictive modeling does.