Jonathan H Chen MD PhD

@jonc101.bsky.social

Physician Data Scientist - Stanford Center for Biomedical Informatics Research + Division of Hospital Medicine + Clinical Excellence Research Center + Biomedical Data Science

Build vs. Buy? An eternal question organizations struggle with when vendors seemingly offer convenience, but continued innovation is necessary when vendors never quite meet the needs and demands of your people. (1/21)

Infographic titled 'Two Lenses. Better Decisions.' contrasting a Finite Game Mindset (compete, win projects, optimize for today) with an Infinite Game Mindset (create lasting value, advance the mission), above a Build vs. Buy decision panel.

(1/5) Last year Stanford launched HAILS - AI in Healthcare Leadership & Strategy: a selective program for healthcare leaders navigating how AI actually gets adopted, governed, and used safely in practice. We're now opening applications for the 2027 cohort.

HAILS 2026 cohort group photo in the Stanford Hospital atrium, with two HAILS - AI in Healthcare Leadership & Strategy banners.

Any doctor who could be replaced by a computer should be replaced by a computer. — Warner Slack, riffing on Arthur C. Clarke’s quip about teachers. Most read this as a call for replacement. It says the opposite. (1/8)

AI-generated illustration: a Golden Retriever dressed as a doctor in a white coat and stethoscope, with an AI 'talk box' tablet strapped to its chest, sitting across from a seated patient in a clinic exam room — a visual gag for the line about strapping an AI talk box onto a Golden Retriever and calling it a doctor.

I don’t say this anymore, because now I’m kind of unsure: "Human + Computer, when combined, will deliver better results than either alone." This "fundamental theorem of informatics" was the closing line of my keynotes for years. (1/7)

Figure 1. A reframing of the Fundamental Theorem of Biomedical Informatics. The original theorem: human + computer > human or computer alone. The reframed theorem shifts the unit of analysis to a Learning Health System (LHS) in which humans and computers collaborate dynamically, outperforming humans alone, AI alone, or simple human-machine pairings.

Still a few seats left with only a week to go before the upcoming Stanford AI in Medical Education Symposium Technology advances are a catalyst, but not the substance for meaningful change. We have to train (and retrain) an entire generation of the healthcare workforce...

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A direct follow-up to our previous State of Clinical AI Report (arise-ai.org/report). Attendees told us we could have charged $10,000 for that prior report. We gave it away for free, attracting hundreds of attendees and follow-up sessions invited by leadership in the field.

State of Clinical AI Report 2026 - ARISE

The State of Clinical AI Report is the most widely read and trusted analysis of key developments in clinical AI.

arise-ai.org

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This should be a fun and practical session, Thursday, 5/7/2026, 12-1pm PST. Vishnu Ravi, MD is way ahead of the curve in figuring out how to use AI agents and workflows dramatically augment your work and life.

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Stanford Division of Computational Medicine@stanfordcompmed.bsky.social · 3mo ago

"AI as an Everyday Collaborator: How Agents Can Change the Way We Work and Live" Vishnu Ravi, MD. Thursday, May 7th, 2026 12:00 to 1:00 pm PST Live Stream: stanford.zoom.us/j/9788759601... Webinar ID: 978 8759 6012 Webinar Passcode: 420642

Colloquia announcement “Presenting the 2026 State of Clinical AI Report” "AI is already inside healthcare. Some systems measurably improve diagnosis and patient care. Many do not. This talk distils important findings from the State of Clinical AI Report,

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