While interventions have been a tool that benefits leaders and brokers have been using for decades, it is challenging to design these initiatives. The primary reason for this lack of success ties to having easy access to health benefits utilization data to assess the employee population’s true needs. This lack of accessible data precludes developing models to project expected outcomes and identifying the segments of the population that would benefit from these interventions.
Let’s look at some of the mistakes companies make when designing well-being interventions:
Springbuk is the health data analytics solution that equips employers and benefits advisors with the deep, immediate insights they need to sharpen strategies, improve health, and contain costs.
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