Health law attorney Dennis Hursh discusses his article, "Why hospitals are quietly capping top doctors' pay." For nearly 40 years, he has reviewed physician employment agreements and reveals a shocking recent trend: hospitals are increasingly capping physician salaries, often at the 90th or even 75th percentile of national benchmarks. Dennis explains that hospitals often justify this practice with the ludicrous claim that it prevents fraud, an argument that illogically presumes 10 to 25 percent of the top-earning physicians are breaking the law. The conversation details the legitimate reasons for high compensation—from top-tier productivity to practicing in undesirable locations—and exposes the flaw in allowing hospitals to use their own biased, in-house staff to determine "fair market value." Listeners will learn actionable advice on how to demand an independent, third-party valuation and the specific contract language needed to protect their compensation. Finally, Dennis warns how this practice has an insidious, long-term effect of artificially lowering salary benchmarks for all physicians, penalizing the very workhorses the health care system relies on.

Our presenting sponsor is Microsoft Dragon Copilot.

Microsoft Dragon Copilot, your AI assistant for clinical workflow, is transforming how clinicians work. Now you can streamline and customize documentation, surface information right at the point of care, and automate tasks with just a click.

Part of Microsoft Cloud for Healthcare, Dragon Copilot offers an extensible AI workspace and a single, integrated platform to help unlock new levels of efficiency. Plus, it's backed by a proven track record and decades of clinical expertise—and it's built on a foundation of trust.

It's time to ease your administrative burdens and stay focused on what matters most with Dragon Copilot, your AI assistant for clinical workflow.

VISIT SPONSOR → https://aka.ms/kevinmd

SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast

RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended