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.
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.
