A Health Insurance Strategy that Takes the Guess Work out of Health Insurance Plan Selection
Many employers guess which health insurance plans are best for their employees. But there is a far more strategic way to build a health insurance strategy, giving your employees and their families the best healthcare plans for their specific needs. Data Scoringsm, in particular, is a user-friendly, technology-driven strategy that empowers you to easily assess and choose the right health insurance plan(s).
Because it’s a health plan, not a health guess.
With our (legal) creative health insurance strategy, we’ve saved our clients over 3.2 million premiums dollars (and counting) since our first unique creative breakthrough in 2008. When you understand health plans and what drives their premiums, you can find a community-rated plan (or plans) that provides real value to your employees and their families.
The best-suited health plan is very much dependent on your employee’s known and anticipated healthcare needs. Without this data, you’re selecting this year’s health plan options based on a guess and a hope – but hope is not a strategy.
With so many community-rated health plans available to your business, you need a way to whittle down the options– and ultimately choose the best plan option(s) based on data. If insurance carriers are using data to set premiums and benefit designs, shouldn’t you use data to choose which health plan(s) to offer your employees at Open Enrollment?
Data Scoringsm is a strategy to help you anonymously assess your own employee data. It’s a necessity that informs your best health plan choice(es). Unfortunately, few employers and brokers take the time to gather such data from their employee bases. But by skipping this step, you have no means to compete on strategy – you have no data to advise your plan selection.