@OpenEvidence
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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
Joined November 2022
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“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.
The best part of this prompt is "explain what's controversial". A tool that only tells you the consensus is a textbook. OpenEvidence can tell you where the field disagrees, and knowing that can change how you practice.
A prompt I’ve been using to stay up to date:
“Act as a [insert topic] expert. Identify the most important new evidence from the last 12 months, prioritize practice changing trials, guidelines and high-quality studies, and explain what is genuinely new, what is controversial, and what should influence current clinical practice.”
Staying up to date is harder than ever because of the amount of literature being published.
But with new tools, it’s also becoming easier than ever.
I’ve been using this prompt with @OpenEvidence and was surprised by how well it can work.
Of course, this doesn’t replace reading the original papers and it’s not medical advice. But I’ve found it a helpful guide to what’s worth reading and where the important debates are.
I imagine this prompt will need to evolve and change.
What’s the most useful prompt you’re using right now?
An oncologist practicing far from a major cancer center could soon access the same evidence on cancer mutations and treatments as a specialist at @MSKCancerCenter. Congrats to @OpenEvidence and MSK on this powerful step toward bringing leading cancer treatment information to more patients.
Memorial Sloan Kettering opening its precision oncology data to physicians nationwide through OpenEvidence. Today's Forbes has the story.
@MSKCancerCenter has spent years building the world's most detailed map of which cancer mutations respond to which treatments. Until now, you had to be treated at MSK to benefit from it. Soon, an oncologist in a small practice in Montana will see the same evidence as a subspecialist in Manhattan, at the moment it matters, for the patient in front of them.
More patients getting the right treatment the first time, wherever they live. Read full article here forbes.com/sites/innovationr…
OpenEvidence retweeted
Memorial Sloan Kettering Cancer Center (MSK) and @OpenEvidence have partnered to bring cutting-edge AI and precision oncology expertise closer to the point of care. By integrating OpenEvidence into MSK's Epic workflow and embedding MSK's @OncoKB™ precision oncology knowledge base directly into OpenEvidence, clinicians can access trusted, evidence-based insights within their existing clinical workflows.
“We're excited that OpenEvidence will widen OncoKB's reach, bringing MSK's expert interpretation of a patient's unique cancer genetics to cancer care providers across the U.S. to help them make molecularly informed treatment decisions,” says Dr. Debyani Chakravarty (@CDebyaniPhD), a lead scientist for OncoKB at MSK.
Learn more about this new collaboration: bit.ly/4AiLZTt
Today, Memorial Sloan Kettering Cancer Center (MSK) and OpenEvidence announced a partnership to advance precision oncology. This partnership includes integration of OpenEvidence within MSK’s Epic workflow, and bringing OncoKB™, MSK's precision oncology knowledge base, directly into OpenEvidence for its broader use by physicians outside of @MSKCancerCenter.
“AI has the potential to fundamentally change how we translate an increasingly complex and rapidly expanding body of knowledge into better decisions for patients,” – Anaeze Offodile, M.D., Chief Strategy Officer at MSK.
Full press release:
mskcc.org/news-releases/mskc…
Memorial Sloan Kettering opening its precision oncology data to physicians nationwide through OpenEvidence. Today's Forbes has the story.
@MSKCancerCenter has spent years building the world's most detailed map of which cancer mutations respond to which treatments. Until now, you had to be treated at MSK to benefit from it. Soon, an oncologist in a small practice in Montana will see the same evidence as a subspecialist in Manhattan, at the moment it matters, for the patient in front of them.
More patients getting the right treatment the first time, wherever they live. Read full article here forbes.com/sites/innovationr…
OpenEvidence is coming to @PennMedicine.
The partnership will bring OpenEvidence to clinicians across Penn Medicine and expand access through the Botswana-UPenn Partnership.
Our goal is simple: put the best available medical evidence within reach of more clinicians, wherever they practice. Read full announcement:
openevidence.com/announcemen…
Press release: businesswire.com/news/home/2…
Canada, this one’s for you.
“This partnership with OpenEvidence represents an important step in ensuring Canadian physicians have access to cutting-edge clinical decision support tools. By using MINC’s trusted physician identification infrastructure, we can help facilitate access to evidence-based medical information that supports better patient outcomes across Canada.” -- Michael Epp, Executive Director of MINC#NIMC.
openevidence.com/announcemen…
OpenEvidence retweeted
💻 #ASCOAI: AI may save clinicians time, but efficiency is only part of the equation.
At @ClevelandClinic A.I. Summit, panelists examined how AI could affect clinical judgment, training, workload, and clinician trust in model outputs.
@jamecancerdoc
🔗 ascoai.org/articles/2026/09/…
The best medical AI model in the world is now called Darwin. It is the first AI to score a perfect 100% on MedQA and it leads every mainstream benchmark in the field. STAT covers the launch.
In this edition of STAT Health Tech: What FDA's TEMPO pilot means for AI regulation, OpenEvidence launches new AI models, and more. trib.al/gz6iyYh
OpenEvidence retweeted
.@OpenEvidence is leveraging a partnership with a top cancer center to bolster its oncology capabilities, adding trusted genomic interpretation expertise to its platform. The company also released a new family of medical AI models, including OpenEvidence Darwin
bit.ly/4cqgL2q
Today we are releasing the OpenEvidence Model Family. Our most powerful models yet, and (as of 2026) the highest scoring medical AI model family in the world on every mainstream benchmark.
Osler for the hallway, Sackett for the consult, Snow for the tumor board. Every model in the family is held to the same standard of clinical accuracy. What varies is time: how long a model thinks, and how deep it searches. Three of them are available to every verified clinician starting now.
The fourth is Darwin. A perfect 100% on MedQA, the first AI in history to do it. Capability at that level cuts both ways in medicine, so Darwin is in research preview, by application only, while its safeguards are validated with partners like @RareDiseases.
Osler, Sackett, and Snow are live now on the web and in the iOS and Android apps.
Full press release businesswire.com/news/home/2…
Dr. Wachter’s point on the JAMA paper arguing AI can replace doctors: AI wins when it starts with clean clinical facts. Producing those facts is the practice of medicine. It’s the doctor who examines the patient, hears what they’re saying and what they’re leaving out, and turns a messy story into a question worth answering. OpenEvidence works because there’s a physician in front of it.
I agreed with much of the controversial @JAMA_current piece on autonomous AI by @ZekeEmanuel @vkhosla @nealkhosla & @AbeBakerButler. Given a clean set of clinical facts, AI will often beat MDs on dx & Rx.
But there's far more to the story. My new Substack:
robertwachter.substack.com/p…
OpenEvidence founder named to TIME100 AI 2026.
"Over 300 million Americans will be treated by a doctor using OpenEvidence to help make a treatment decision." time.com/collection/time100-…
“Two-thirds of doctors regularly consult something called OpenEvidence.”
@ZekeEmanuel on MS NOW this week. “Something” is doing a lot of work, but so is “doctors.” It’s the physicians who ask 10 million questions a week, read the references behind the answer and make the decision. Which is exactly how OpenEvidence is supposed to work in the hands of someone who knows their patient.
ALT Dr. Zeke Emanuel on Ms Now