How federal agencies are easing AI and health‑tech rules—and what that shift means for your risk and compliance strategy.

A provocative discussion on data aggregation, interoperability, and the tools that are making health data more usable

We discuss how the lesser-known “small language model” (SLM) AIs can often produce outsize results for healthcare organizations, and can often be more effective than LLMs.

This update looks at four emerging governance and risk items that companies should consider addressing in 2026.

When should you use AI for legal questions and when should you use a lawyer? This question is the starting point as I sit down with Ron Bell, General Counsel of Collective Health.

Data breach costs in the U.S. exceed global averages. Why are they so high and how can you manage the risk?

The road to answering any interesting questions about a healthcare data set can seem like it’s “a thousand light years away."

I sit down with Aaron Neiderhiser, CEO of Tuva Health, a pioneer in open source analytics, to explore the core challenge of healthcare data: it is incredibly complex, unstructured, and often impossible to analyze in its raw form.

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If ACA premium subsidies are not continued, analysts predict that healthcare premiums will rise by 50% to 75% for millions of Americans, which could push up to 4 million people out of the insurance market. How should your company prepare for this disruption?

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Learn how federal policies are changing, and the challenges and opportunities they present to health tech companies, from two veteran health policy experts at Red+Blue Strategies. Go to www.orensteinlegal.com for more information.

Check out Free Flow, the Health Tech Law and Policy Podcast, with your host Dan Orenstein. Go to www.orensteinlegal.com for more information.