What Makes a Wellness Program Succeed or Fail? Behavior, Motivation, and Personality

Intuition and recent studies have proven that wellness programs, which actively leverage activity trackers, are great but one size definitely doesn’t fit all. This piece explores the history of activity trackers, how they play out in wellness program and an analysis of one global company’s wellness program participation data. Read more on the full MedCity News piece.

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

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More Megatrends: Price Transparency, Telehealth, Individualized Medicine

January 16, 2020

By Scott Hampel, president of MedeAnalytics Now that we’ve dealt with Megatrends one through three, we’re approaching the next set.…

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2020 Megatrends: Consumerism, Data Privacy and Security, AI

January 14, 2020

With 2020 two weeks old, it’s becoming clear the data produced in the healthcare industry by providers, consumers and payers will power and propel our 9 megatrends. Healthcare data is the foundation on which we’re building everything from healthcare outreach for the underserved to new Internet of Things-based healthcare programs to treatments designed just for you.

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Why Unconventional Businesses Will Find Success in Healthcare: It’s the Data

January 7, 2020

It seems everyone is moving into healthcare. It’s a rapidly growing industry, historically dominated by large, well-embedded companies and organizations, and “pure tech” companies have had difficulty breaking in. That, however, is changing.

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Data and Social Determinants of Health

December 19, 2019

By Scott Hampel – I think a lot–and I’m not the only one–about how we can improve the ways we pull information from data. Data on its own is inert: just waiting to be understood and then used. And that’s a major challenge for many organizations. Data is often trapped in different applications with no easy or convenient way to extract it.

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