Health Intelligence Makes Predictive Analytics Actionable

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By Rod Reasen

When deciding to accept a job offer, 88% of employees state that the quality and options of a health benefits package are important. As a response to this trend, employers need to build data-driven benefits plans. There are plenty of buzzwords that get thrown around this opportunity and predictive analytics solutions advocate that it’s not more data or more resources that employers need – rather organizations need actionable insights and direction.  

Health Intelligence allows employers to build programs that fit and prevent disease with data. Amongst numerous other benefits, Health Intelligence empowers employers to identify how to build unique benefits plans that fit their business and their unique population.

Modern-day issues.

Employers fail to manage the investment in their most valuable resource — their people — because they don’t know where costs are coming from and where those costs are going, due to a lack of access to reliable information. Employers lack certainty. They don’t know how changes to their plans and programs will impact their populations. 

Employers are not lacking healthcare data. Missing from their toolkit is direction, at a time when, more than ever, employers need in-depth insights to spend less time wading through complex data and more time acting on their data. Through the use of predictive analytics, employers that invest in Health Intelligence are able to help create a healthier and more productive workforce.

Modern-day solutions.

Health Intelligence leverages medical claims data, artificial intelligence, machine learning, and a proprietary Event Detection AlgorithmSM to identify actionable opportunities and forecast employees that are at risk of thyroid disease, stroke, opioid abuse, or diabetes, for example.

Health Intelligence allows users to use secure, encrypted data to take action within their population. Once these opportunities have been identified, Health Intelligence helps recommend preventative health and wellness initiatives to the organization to mitigate potential health occurrences and better manage their investment into their employees. 

Access to data intelligence through predictive analytics empowers employers to develop strategies that do more than limit cost, design plans and programs that fit the needs of the business and employee populations and deliver an employee health experience that is holistic, consistent, and meaningful. 

Actionable results.

By forecasting conditions within employee populations, employers can better understand where there is an opportunity to prevent high costs and improve health proactively, versus a reactive approach.

By providing the information needed to forecast conditions and uncover actionable opportunities, Health Intelligence is eliminating busywork such as manual reporting, allowing employers to focus on what matters most: Driving lasting improvements in the health of their populations. 

Health Intelligence uses predictive analytics to provide actionable recommendations to more strategically design and manage employee benefits—from health plans and programs to service providers and health-focused technologies. 

After all, in today’s economy, employers can’t afford not to care.

Rod Reasen is the Co-Founder and CEO of Springbuk, a Health Intelligence platform with a vision to prevent disease with data. Prior to launching Springbuk, Rod founded and scaled a benefits consulting firm into one of the largest in the Midwest. Additionally, in 2009, he launched the nationally recognized Healthiest Employers® award program designed to recognize the top healthiest workplaces in America. Rod’s passion in his professional life is finding creative and innovative ways to help organizations improve their employees’ health outcomes.

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