Everyone is talking about artificial intelligence, but few are explaining how to oversee it.

The existing literature tends to be either abstract theory or vendor-driven hype. What was missing was a clear, structured guide tailored to healthcare organizations. This report attempts to fill that gap.

AI governance may seem nebulous now, even intimidating. But it won’t remain optional.

Be it a clinical decision support tool, a patient-facing chatbot, or a system predicting readmissions, someone will be held accountable for what that tool does. Understanding this space is no longer a luxury. It’s a core duty of modern hospital leadership. Download the first 3 chapters here. Full edited book will be published soon.

Book cover titled "Clear & To The Point" with subtitle "Ethics, Oversight, Compliance, Strategy" and the large text "A.I. Governance For Hospitals" by Ron Galloway.
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California Medical Association logo featuring a stylized medical symbol in a rounded square and the organization's name.
Biogen logo with a blue and green abstract sphere beside the company name in blue text.
Novo Nordisk logo featuring a stylized blue bull and the company name.
Financial Times logo in black text on a white background.
BBC logo with three black squares and white letters B, B, and C.
Sentara logo with orange swirl and black text
Infirmary Health logo with text and lines
Logo of Georgia Hospital Association with stylized peach outline.
CNBC logo featuring a colorful peacock icon and black text.
Logo of the Greater New York Hospital Association with the acronym GNYHA and a caduceus symbol
The Wall Street Journal logo in black text on a white background.

Available December on Apple Books, Barnes & Noble, and Amazon

I have been a researcher for nearly 40 years. I am the author of several books on technology, and I have made 3 films. I have keynoted hundreds of conferences over the last 20 years.

I’m a graduate of Georgia Tech. I was an research analyst at Shearson/American Express,, then spent 10 years at an analytical RIA, Foundry LLC. In 2006 I started an institutional research firm of my own, 818 Research. I have 37 years of AI experience, starting with programming AI Prolog when I was 26.

I have appeared on CNN, CNBC, the BBC, PBS, ABC World New Tonight, as well as Jon Stewart’s Daily Show. Print coverage includes the WSJ, NY Times, Investors Business Daily, China Daily, and the New Yorker magazine.

A middle-aged man in a business suit and tie standing outdoors with a city skyscraper background.

  • I've been studying up on multiple sclerosis for a client. The impact of LLMs on MS management and diagnosis is pretty interesting. I put together a short primer on this - “How LLMs Could Sharpen MS Diagnosis.” Download it here.

  • Wrote “A Low Stress Guide To Fine-Tuning Large Language Models.” Download it here.

  • Wrote a outline “Sample AI Compliance Standards For Hospitals.” People have asked for something to help them jumpstart thinking about this. Download it here.

  • My speech from HealthSpaces 2024 can be seen here

  • Wrote a short guide on writing a book with Emacs Org-mode. Download it here.

  • My book “AI: Clear & To The Point” is on Apple Books here.

  • I have coded in the AI language Prolog since I was 26 years old (37 years ago). I wrote a short paper “The Evolution of Prolog Syntax and Semantics Over The Last 34 Years.” Download it here.

  • My speech from Senior Living Innovation Forum 2024 can be seen here.

  • I did a speech on AI 9 years ago. It can be seen here.

  • Wrote a guide to using ChatGPT inline within Emacs. Download it here.

  • Wrote “Healthcare In The Age Of AI” for West Virginia Executive magazine. Read it here.