BIG DATA IN HEALTHCARE
Whether mining data for answers or projecting data to determine strategy, our team of analysts are at the ready.
SELF-FUNDED SAVINGS
An employer of 700 had a decent claims loss ratio but a benefits renewal trend increase of 11%. We performed a self-funded analysis, and our projection confirmed they could significantly lower their healthcare spend. Over the next three years, they saved $4.2M by switching to a self-funded plan design.
INCREASED ACCESS TO CARE
A client’s lack of in-network mental health providers meant employees couldn’t afford the care they needed. We analyzed their claims and projected costs for plan design changes that would remove out-of-network cost barriers. We decreased employees’ financial burden while remaining within the client’s budget.
COST-BENEFIT ANALYSIS
A client’s chiropractic claim costs were so high they were considering hiring an in-house chiropractor. We performed an analysis of their utilization data. The results made it clear an in-house solution wouldn’t be cost-effective, so we found a more efficient, cost-cutting solution.
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