OpenEvidence is the most popular AI for doctors in the United States. Founded with the mission to organize and expand the world's collective medical knowledge.

Miami, FL & San Francisco, CA
“We did the hardest thing in the history of American health care. We got the majority of American doctors to all voluntarily adopt a single technology platform.” NBC News on how that happened, what U.S. physicians actually do with OpenEvidence, and how partnerships with NEJM, JAMA, NCCN, and Wiley make it possible.
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OpenEvidence is now available to more than 110,000 @AdventHealth team members providing whole-person care for millions of people annually through more than 2,000 care sites. Our goal, as always, is to support the expertise and accountability of AdventHealth clinicians. Every care decision remains rooted in professional judgment, the patient's individual circumstances and the relationship between patients, families and their care team.
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Most people know OpenEvidence as the platform a physician checks between patients. Meghan FitzGerald @MacroClaus uses it to write about health policy. She did the research and citations for this piece using OpenEvidence. By her count, it's the tenth she's published that way.
The way to bring down the political temperature around data centers is to invest in the one sector where the return may be larger than the infrastructure itself: health care. | Forefront Meghan FitzGerald | @Columbia healthaffairs.org/do/10.1377…
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Some of the evidence clinicians need most sits in specialty society journals that few outside the specialty ever see. We've signed an agreement with @Sage_Publishing to bring peer-reviewed research from more than 300 Sage journals into OpenEvidence, including titles from societies in sports medicine, stroke, headache, anesthesia, and diabetes care. As that content comes onto the platform, every answer it informs will cite and link back to the original article.
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Most clinical AI is built for the conditions inside well-resourced hospitals. @PennMedicine and Botswana-UPenn Partnership clinicians are designing this one for the conditions most of the world practices in, and evaluating it there.
.@OpenEvidence partners with @AnthropicAI, @PennMedicine to expand physician access to AI across Africa and Asia bit.ly/4ABPDI6
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OpenEvidence retweeted
There is a human side to AI.
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I think @ZekeEmanuel and others are wrong about AI replacing physicians, but AI is already playing an important role in my clinical life. I’ve come to rely on @OpenEvidence enormously, and I believe it’s making me a better doctor. At the same time, I worry that frictionless access to clinical decision support is making my learners worse. I wrote about this for @nytopinion: nytimes.com/2026/09/25/opini…
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The teaching question raised in @nytimes article is real. We are not passively waiting for this debate to be settled. OpenEvidence is partnering with people who train residents.
My thoughts echo these in so many ways. For the longest time, MD identity has been tied to being walking reference manuals, but with evidence at your fingertips, that is less and less necessary. However, background understanding of phys/pathophysm and ability to reason over information, remains more important than every. In my view, access to information is never a bad thing; it just is about how it is used. I see trainees’ learning being accelerated by rapid access to knowledge, as long as that knowledge is being actively used with the intent of self-improvement and the benefit of future patients in mind, not just to accomplish daily tasks.
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OpenEvidence retweeted
My thoughts echo these in so many ways. For the longest time, MD identity has been tied to being walking reference manuals, but with evidence at your fingertips, that is less and less necessary. However, background understanding of phys/pathophysm and ability to reason over information, remains more important than every. In my view, access to information is never a bad thing; it just is about how it is used. I see trainees’ learning being accelerated by rapid access to knowledge, as long as that knowledge is being actively used with the intent of self-improvement and the benefit of future patients in mind, not just to accomplish daily tasks.
I think @ZekeEmanuel and others are wrong about AI replacing physicians, but AI is already playing an important role in my clinical life. I’ve come to rely on @OpenEvidence enormously, and I believe it’s making me a better doctor. At the same time, I worry that frictionless access to clinical decision support is making my learners worse. I wrote about this for @nytopinion: nytimes.com/2026/09/25/opini…
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“By integrating OpenEvidence into the clinical environment and simplifying secure access, UTMB is demonstrating how health systems can move evidence-based AI from an interesting technology to an everyday clinical capability.” --@TravisZack2, CMO of OpenEvidence
Our collaboration with @OpenEvidence is an important step in how UTMB is responsibly integrating AI into healthcare delivery. By bringing evidence-based AI directly into clinical workflows, we can give clinicians more seamless access to trusted medical literature and clinical guidance at the point of care. This is where AI can make a meaningful difference: supporting clinicians with the right information, within the right workflow, while maintaining the security and standards our patients and teams expect. Learn more about this collaboration: utmb.us/gmk
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OpenEvidence retweeted
Love this news. More doctors around the world will be able to use OpenEvidence for free. Congrats to @OpenEvidence and @AnthropicAI 💚
“Medicine is a field where you don't need to squint to see the benefits of AI. It's your mom, it's your dad, it's your sister, it's your brother. And it's the doctors who will care for them in their most vulnerable moments.” Yesterday, during the UN General Assembly, we announced a partnership with @AnthropicAI to make OpenEvidence available free of charge to physicians in low- and middle-income countries, placing life-saving medical AI into the hands of physicians worldwide, regardless of the economics.
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“Medicine is a field where you don't need to squint to see the benefits of AI. It's your mom, it's your dad, it's your sister, it's your brother. And it's the doctors who will care for them in their most vulnerable moments.” Yesterday, during the UN General Assembly, we announced a partnership with @AnthropicAI to make OpenEvidence available free of charge to physicians in low- and middle-income countries, placing life-saving medical AI into the hands of physicians worldwide, regardless of the economics.
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OpenEvidence retweeted
The University of Texas Medical Branch and OpenEvidence have announced a collaboration that brings cited medical evidence directly into clinicians' everyday workflows. OpenEvidence is now embedded within @UTMB's electronic health record. Physicians and other clinical users sign in with their standard UTMB enterprise credentials, with no separate account and no switching between applications. The evidence sits inside UTMB's existing clinical workflow and enterprise security.
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"Access to medical knowledge shouldn't depend on geography," said Daniel Nadler, founder and CEO of OpenEvidence. That's why OpenEvidence and @AnthropicAI are bringing a specialized version of OpenEvidence, free, to clinicians in about 100 low- and middle-income countries, including Uganda, Angola, Sudan, Haiti, and Mongolia. More here: reuters.com/legal/litigation…
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OpenEvidence retweeted
Artificial intelligence startup Anthropic and medical knowledge platform OpenEvidence are collaborating to bring AI-powered clinical decision support to physicians in regions without access to the technology, the companies said on Tuesday. reuters.com/legal/litigation…
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The University of Texas Medical Branch and OpenEvidence have announced a collaboration that brings cited medical evidence directly into clinicians' everyday workflows. OpenEvidence is now embedded within @UTMB's electronic health record. Physicians and other clinical users sign in with their standard UTMB enterprise credentials, with no separate account and no switching between applications. The evidence sits inside UTMB's existing clinical workflow and enterprise security.
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