In Conversation: Keith Morse, MD
CMIO, Stanford Medicine Children's Health - on why most stumbling blocks in clinical AI rollouts trace back to data governance and change management rather than the technology itself
Few voices in healthcare technology carry as much practical weight right now as Keith Morse, MD, CMIO, Stanford Medicine Children's Health. In a wide-ranging conversation conducted by HealthLeaders, Keith laid out a view of the industry that is both candid and immediately useful to the executives, clinicians, and builders who read HealthTech Cube.
The conversation
Why most stumbling blocks in clinical AI rollouts trace back to data governance and change management rather than the technology itself - and balancing innovation with reliability.
“That's not a technology issue. It's a data issue.”
- Keith Morse, MD, in conversation with HealthLeaders
Conversation highlights
Why most stumbling blocks in clinical AI rollouts trace back to data governance and change management rather than the technology itself
And balancing innovation with reliability
The bigger picture
The AI adoption question runs through every executive conversation in 2026. The evidence base is finally arriving: the largest controlled study of ambient documentation, published in JAMA, found clinicians saved 16 minutes of documentation time per day - but only a third of users hit the usage threshold for maximum benefit (our coverage). Meanwhile Rock Health has stopped labeling AI as a differentiator at all, because every company claims it - which is exactly why operating discipline of the kind described here separates winners from demo-ware.
The data-infrastructure backdrop makes this conversation timely: TEFCA crossed one billion exchanged health records this summer, up from 10 million in under a year (our coverage), while KLAS reports EHR purchasing fell 40% as capital shifts from record systems to the AI and analytics layered on top of them. Interoperability is no longer the constraint - deciding what to do with flowing data is.
The conversation is a study in how theory meets the operating reality of healthcare. At Stanford Medicine Children's Health, that thinking translates into daily decisions about where technology genuinely earns its place in care delivery, and where discipline matters more than novelty.
The HTC take
For HealthTech Cube readers, the takeaway is less about any single tool and more about the operating discipline behind it: technology follows strategy, never the reverse.