Doximity (@doximity) latest posts

RT @shaunpat1: Could staying current with AI boost physician compensation? 67% of physicians think so. The 2026 @Doximity Physician Compen…

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RT @AAllegretto_AM: @doximity released its annual Physician Compensation Report. Among the many insights from the survey, interventional #r…

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Read the full report: https://dox.im/2026compreport

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Physician pay rose just 2%. But physicians see a new form of career currency emerging: AI fluency. Our 2026 Physician Compensation Report is live, built on ~250,000 survey responses over seven years, including nearly 23,000 physicians in 2025!

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Physician pay rose just 2%. But physicians see a new form of career currency emerging: AI fluency. Our 2026 Physician Compensation Report is live, built on ~250,000 survey responses over seven years, including nearly 23,000 physicians in 2025! 🔗 https://dox.im/2026compreport

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RT @sawyer_bawek: 💡New @doximity 2026 Physician Compensation Report just Dropped 👉66% of physicians now use #AI daily or weekly in clinica…

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RT @AlexisNarvaezMD: 🚨 Nearly 1 in 2 doctors may leave clinical practice in the next 2 years.@doximity’s 2026 report (23,000+ physicians):…

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Full piece from @LouisMullie, MD, Chief AI Researcher. https://blog.doximity.com/articles/llms-alone-won-t-bring-us-medical-superintelligence

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"The ultimate promise is therefore larger than an AI that knows more medicine. It is a medical system that becomes progressively better at learning medicine."

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And it stays grounded through physicians. "Governance, on the whole, is a problem that computation alone cannot solve." The heart of PeerCheck™: 12,000+ providers improving Doximity Ask.

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Real self-improvement is second-order: "Each solved problem leaves behind more than an answer. It leaves behind a better method for solving future problems." But if improvements persist, so can errors.

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It's not one model. "We envision medical superintelligence as more than a model. It will be a living system for accumulating, verifying, and transferring an ever-expanding body of medical knowledge."

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LLMs alone won't bring us medical superintelligence. Today's models can "produce a correct answer once and fail on an essentially identical problem later." Here's what it actually takes. 🧵

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RT @liver4kids: https://blog.doximity.com/articles/the-first-class-of-physician-leaders-completes-stanford-gsb-s-physicians-executive-program A privilege to have had the #opportunity to be a member of this inaugural class - thanks to @doximi…

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https://blog.doximity.com/articles/the-first-class-of-physician-leaders-completes-stanford-gsb-s-physicians-executive-program

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Fewer than 5% of health systems are led by physician CEOs. The Physician Executive Program (PEP!) at Stanford was created to help more physicians bring their clinical experience and perspective to the highest levels of healthcare leadership. This week, the inaugural cohort

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Read the full piece: https://blog.doximity.com/articles/the-case-for-health-equity-by-design-in-clinical-ai

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New from Félix Manuel Chinea, MD, Head of Health Equity: The hardest bias to catch in clinical AI is the kind buried in a confident, plausible answer, and it compounds at scale unless a system is built to surface it. His piece lays out how we govern Doximity Ask against that,

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RT @dawso007: Used the Doximity free fax feature for the first time. It was painless. Had to send a form (again) so my wife can discuss my…

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https://blog.doximity.com/articles/introducing-thinking-mode-some-questions-require-deeper-reasoning

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