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3 items tagged ”Provider data accuracy series

By John Hickey, Dave Medlock, Bailey Hendrickson on July 6, 2026
In the first two parts of this series , we looked at how provider location data shapes the healthcare experience from the outside in. First, we sat down with Dave Medlock , CEO and founder of Maven One Health and a contributing thought leader. We covered how inaccurate provider locations create access issues—making it harder for members to find care, trust directories, and navigate networks—and expose healthcare organizations to compliance risks. Then, we looked at how those same data issues show up in member experience, driving frustration, delays, and unnecessary friction at critical moments.
By John Hickey, Bailey Hendrickson, Dave Medlock on April 2, 2026
Part two of our provider data series featuring thought leadership from Dave Medlock, Founder & CEO of Maven One Health If you’ve ever searched your health plan’s provider directory only to find your “nearby” doctor is actually a residential home—or worse, a PO Box—you’ve experienced firsthand why clean provider data matters for more than just compliance. Provider data accuracy is also one of the most important aspects contributing to member experience. In part one of this series , we explored how accurate provider location data fuels regulatory compliance.
By John Hickey, Bailey Hendrickson, Dave Medlock on January 15, 2026
Welcome to part one of our new blog series on provider location data—an exploration into the messy, high-stakes world of healthcare compliance, address accuracy, and network adequacy. To kick things off, we sat down with Dave Medlock, founder of Maven One Health and a contributing thought leader, to discuss why clean provider data is essential for achieving peak regulatory compliance and meeting requirements with ease, thereby avoiding serious consequences if it isn’t done correctly. Here’s what he had to say about understanding CMS, state DOIs, continuous audits, rosters, data decay, messy inputs, and the future of address data itself.

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