Healthcare AI

For years, the Department of Health and Human Services (HHS) has approached Artificial Intelligence in pockets. The Food and Drug Administration (FDA) handled devices, the National Institute of Health (NIH) led the charge in research, and the Centers for Disease Control and Prevention (CDC) managed public health surveillance. The release of the HHS AI Strategy (Version 1.0)  on December 4, 2025, marks the end of that fragmented system and the beginning of the "OneHHS"  era. T

In the landscape of healthcare governance, the United States is still waiting for a unified Federal standard, but states are no longer hitting pause. They are pushing forward with their own distinct regulations. From the standpoint of a multi-state health system, ensuring compliance has moved far beyond traditional checklists. As we enter 2025, we are witnessing the fragmentation of governance into distinct operational burdens, which are illustrated by three states. The Three

When discussing the use of Artificial Intelligence (AI) in healthcare, the idea of jumping into the system without a governance structure is basically a recipe for disaster, and we're running on a tightrope. Just last week in New York, the protests by nurses about AI and patient safety have been going through my mind, and made me take a closer look at the "black box" issue that's at the heart of this problem. Surveys like the one by National Nurses United , show that 69% of

When artificial intelligence (AI) is injected into the healthcare industry it's changing the way clinicians do things and enabling the health system to make decisions faster, but as we move from theoretical models to real-world use, the problem of AI's "black box" nature starts to reveal itself, and with it, very serious ethical and legal issues. Coming from a background in healthcare quality and policy, I've seen how technology outpaces governance, and this piece will take a