Drawing from your experiences as a Yale-trained emergency physician and Harvard MBA, what pivotal moment in your career convinced you that the U.S. health IT ecosystem was fundamentally broken, and how does that inform your call for shared accountability in the book?

How do you envision generative AI transforming data silos into collaborative ecosystems, and what risks do you see if we fail to prioritize ethics in this shift?

• Which of the current stakeholders in the system do you see as best positioned to finally deliver on the promise of HCIT from the start of your career? Governments, 

The book does a terrific job of front line reporting on the industry history since the 1990s.  Particularly how regulatory capture and fragmented silos stalled innovation in clinical trials and personalized care.

If we look at today as a new era of "AI transformation", where do you see startups repeating the same errors of the past?

What guidance from history, and your book, would you give startups entering the industry from an AI perspective, rather than one of decades of fighting these same industry battles with different tools.

If you could fast-forward a decade, what do you predict will be the most transformative application of responsible AI in healthcare, and what one piece of advice would you offer to policymakers or industry leaders to ensure we get there responsibly?