OpenEvidence @EvidenceOpen
OpenEvidence is the most widely used AI-powered medical search, helping doctors access the world's knowledge at the moment it matters. openevidence.com Miami, FL & San Francisco, CA Joined November 2022-
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@JReinerMD @nytimes The “me with unlimited time” line is a great one. Going to be hard not to steal it.
The Open Evidence clinic encounter tool creates a note that’s written as if my scribe was me, but me with unlimited time. It also shows what clinical trial data and guidelines think about my plan. It’s amazing. nytimes.com/2026/06/08/bus… via @nytimes
We're proud to announce our partnership with @EvidenceOpen. OpenEvidence is the most widely used AI-based clinical decision support tool across the United States. Under this partnership, the Academy will share its Preferred Practice Patterns® and other clinical guidelines with OpenEvidence for incorporation into its training libraries and report on output for quality and consistency. We encourage our members to share their experiences with the OpenEvidence tool, including observations about performance and recommendations for improvements, using a feedback form that is available from the Academy’s OpenEvidence page. Read: aao.org/openevidence #Ophthalmology #EyeCare #MedicalAI #EvidenceBasedMedicine #AAO #OpenEvidence
Read full announcement: bwnews.pr/4xyeJGy
Ophthalmology is a field where the right answer lives three layers down. Not “treat glaucoma,” but which target pressure, for which optic nerve, given which visual field trend, in a patient who can’t tolerate first-line drops. Starting today, the American Academy of Ophthalmology’s Preferred Practice Patterns are integrated into OpenEvidence. Decades of subspecialty judgment from the world’s largest eye physician and surgeon association, now cited and searchable alongside peer-reviewed literature. When an ophthalmologist asks a question at the point of care, the @aao_ophth authoritative guidance is right there in the answer, every claim cited back to the source.
AI is not replacing doctors. It is helping us catch what might otherwise be missed and make better decisions, faster. Tools like this are already saving and improving lives.
Last summer an ER doctor at Mount Sinai watched two med students and a resident pull up OpenEvidence mid-shift on a hard case. He assumed they were unusual. Then the health system found that a third of its 9,000 physicians were already using it. That's how OpenEvidence spread.
Last summer an ER doctor at Mount Sinai watched two med students and a resident pull up OpenEvidence mid-shift on a hard case. He assumed they were unusual. Then the health system found that a third of its 9,000 physicians were already using it. That's how OpenEvidence spread. Doctors found it, tried it on real cases, and told the doctors next to them. The hospitals are now formalizing what their clinicians already do. @SteveLohr piece in today’s New York Times follows that thread out to a small hospital in Alaska, where Dr. Barbara Creighton uses it on complex cases she’d otherwise send to a paid specialist consult. She calls it “like having a bunch of specialists in your pocket.” The hype around medical AI usually skips the part doctors care about most, which is what the tool is for. Daniel Nadler summed it up in one line: “It’s not an oracle, it’s a tool. Knowledge and knowledge workers still matter.”
"It’s not an oracle, it’s a tool. . . . Knowledge and knowledge workers still matter."- Daniel Nadler, chief executive of OpenEvidence nytimes.com/2026/06/08/bus…
Thanks for the careful reporting, Steve. A doctor in Fairbanks getting specialist-level answers she’d otherwise pay to consult out shows why physicians are adopting OpenEvidence on their own. Most of medicine happens outside the big academic centers, and that’s where the gap is widest.
Full article nytimes.com/2026/06/08/bus…
Come see what they already know. Booth 2206 at the #ADASciSessions
@ACCinTouch @AmiBhattMD @ankeetbhatt Double your prompting skills with Drs. Bhatt & Bhatt
👇 Drs. @AmiBhattMD & @ankeetbhatt explore the impact of large language models (LLM) on CV care, share a practical framework for navigating LLMs, highlight important components to engineer an effective clinical prompt, & more. bit.ly/3PMYapk #ACCInnovation @EvidenceOpen
The ADA Standards of Care are now in OpenEvidence. See it live at @AmDiabetesAssn Scientific Sessions this weekend.
The second Cleveland Clinic AI Summit is on August 28, something to look forward to when summer ends. Hosted by @jamecancerdoc, with speakers from Stanford, Google Health, Mayo, Harvard, and major health systems. Dr. Travis Zack, OpenEvidence CMO, will be speaking.
We are hosting the second @ClevelandClinic Artificial Intelligence Healthcare Conference for all Healthcare team members - from Medical Students to Executives - August 28th @ClevelandClinic. Please see the all star speakers list from @Google to @Stanford ccfcme.org/AISummit
“The answer is not the important part.” In the latest episode of the NEJM AI Grand Rounds podcast, Dr. Travis Zack of @EvidenceOpen challenges how we measure both clinicians and AI. Hear more from Dr. Zack in the full episode: nejm.ai/ep42
@katy_beckermann Sharp real-world test case. The germline/somatic testing question is where physicians pause to verify the criteria. Glad it's useful in clinic.
Point-of-care AI that cites the guideline, and quick access to the literature. Useful in a busy clinic. 🏥 ASCO guidelines + flowcharts now embedded in @EvidenceOpen 📋 Peer-reviewed evidence + direct ASCO source link alongside each response Practice prompt: "Which patients with prostate cancer should have germline and somatic genomic testing per ASCO guidelines?" 💡Delivers NCCN and ASCO guideline recommendations with ease of use for your quick clinical question @ASCO #ASCO26 #AIinMedicine
Every oncologist remembers the first @ASCO Guideline they read in fellowship: the systematic review, the evidence tables, the panel consensus behind every recommendation. Today, OpenEvidence announced an integration of ASCO Guidelines, figures, and flowcharts into the
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