Alex Martin, lead data strategist at Interactive Health has one goal in mind when he goes to work each day: extend the reach, understanding and impact of to maximize health improvement and cost containment. Read how Alex and the data science team work to apply statistical analysis to enhance wellness program design, strategic vision and the member experience.
Alex shares how he helps our clients
Our data science team plays a critical role in the organization to transform the raw member and client data into analysis and insights that will help advance the results-oriented wellness program services offered to our members and clients. We can slice and dice data to do hypothesis testing to potentially discover new insights about our program effectiveness or trends in the member population. Additionally, we interpret client results against our pre-existing analysis to deliver strategic, defensible recommendations based on internal/external datasets, clinical best-practices, sound statistical methods, and client/market considerations. Here are some examples:
Most recently, the Health Enhancement Research Organization (HERO) asked Interactive Health to explore the value volunteerism has on overall health. Our aim was to evaluate cross-sectional data associations of volunteer activities reported within the context of an employer wellness program on physical and mental health.
The insights gathered from a limited, yet significant data set, indicate that volunteers were healthier than those who did not volunteer and had lower rates of emotional health risks. Participants who volunteered also improved their health at a greater rate and regressed at a slower rate than participants who didn’t not volunteer. These insights allow us to provide clients with an unconventional, yet rewarding, way for employees to improve their health by giving back to the community.
Please email firstname.lastname@example.org to learn more about our services. This account is monitored Monday through Friday from 9 a.m. to 5 p.m. CT. We will respond quickly.
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