
Let’s start a conversation about healthcare IT and responsible healthcare AI.
The only way generative AI can truly be used to close gaps and further our progress in healthcare and clinical research is if we design with clear intention and a sense of shared responsibility.
S. Yin Ho, M.D., M.B.A.
For more than twenty-five years, Dr. S. Yin Ho - a physician-turned-entrepreneur and visionary executive — has bridged medicine, technology, and entrepreneurship to drive transformation in health IT. As interim CEO at Veradigm (MDRX), she oversaw the acquisition of Science IO to integrate generative AI models into electronic health record data, and as founder of Context Matters Inc., she built a groundbreaking international health economics analytics technology company later acquired by Decision Resources Group and now part of Clarivate Analytics (CLVT).
A Yale-trained emergency medicine physician with a Harvard MBA, she is now a sought-after advisor, board member at Segmed, and outspoken advocate for responsible AI in healthcare. Her upcoming book, Rushing Headlong: Health IT's Legacy and the Road to Responsible AI, explores the history of health IT in the U.S. and opens an important discussion about this pivotal moment at the intersection of generative AI technology, healthcare, and ethics.
Upcoming events
-
Segmed Webinar: Bytes of Innovation
October 22,2025
12:00-12:30 pm ET/9-9:30 am PT
Join Segmed’s Chief Scientific Officer Dr. Martin Willimink and VP Medical Affairs Dr. Aline Lutz as we discuss my new book, Rushing Headlong: Health IT’s Legacy and the Road to Responsible AI
-
Podcast: AI in Action
Coming November 2025
-
Book Launch Party- Branford, CT
November 13, 2025
7:00-9:00 pm
Private Book Launch Party
Pre-Order My Book
Summary from Back of the Book Jacket
Why, in our era of boundless online health information, is it still maddeningly hard to find the right clinical trial or gather your personal medical data from different sources?
If you’re practicing medicine, have you grown frustrated by both the lack of choice of electronic health record systems and the one-size-fits-all nature of hospital IT systems, or even the dependence on IT teams for even basic queries?
And if you work in health tech, do you wonder why so many innovations stall before delivering real clinical or research insight?
Once, we assumed that transparent access to health data would spark innovation, better understanding of disease, and a faster path to new treatments. Instead, economic incentives- billing above all- have set the dominant rules and assigned differing values to different kinds of information.
In Rushing Headlong: Health IT’s Legacy and The Road to Responsible AI, Dr. Ho examines the arc from early health IT aspirations to the precarious rise of generative AI in medicine.
Blending personal stories with deep industry experience, she dissects how both public and private leaders have let key opportunities slip away, leaving behind a healthcare system that is often disjointed and frustrating for patients, clinicians, and researchers alike.
Dr. Ho does not pull punches as she guides the reader through the damage done by regulatory capture and how generative AI can help transform mountains of medical data into real progress.
Clear-eyed and unapologetic, this book exposes how every healthcare stakeholder in the system shares responsibility for our current predicament- and why fixing it demands intention, collaboration, and courage from all of us.
Join the Pre-Order List
Testimonials: