OpenEvidence

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OpenEvidence

OpenEvidence

@EvidenceOpen

OpenEvidence is the most widely used AI-powered medical search, helping doctors access the world's knowledge at the moment it matters.

Miami, FL & San Francisco, CA Katılım Kasım 2022
350 Takip Edilen34.1K Takipçiler
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OpenEvidence
OpenEvidence@EvidenceOpen·
“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
OpenEvidence@EvidenceOpen·
NCCN Guidelines are now built into OpenEvidence. Ask a clinical question, get the synthesis with the algorithm and the references in seconds. Bring us a case at ASCO this weekend, booth 18140.
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OpenEvidence
OpenEvidence@EvidenceOpen·
@vintweeta @CedarsSinai The completeness frame is the right one. Physicians are excellent at summarization under time pressure. The thing that gets squeezed out under time pressure is the long-tail context that sometimes matters most.
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Vineeta Agarwala
Vineeta Agarwala@vintweeta·
This is cool - hats off to @EvidenceOpen and @CedarsSinai! The obvious reason: yes, within-EHR evidence query is certainly a more convenient user workflow But the more important value I think will come from *preventing errors of omission* in physician prompts into standalone OpenEvidence Physicians are certainly very skilled in summarizing pertinent patient data, but a big part of the value of AI is in removing the human bias and limitations in human distillation of vast data
OpenEvidence@EvidenceOpen

Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart. Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient. Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them. Patient data is never stored after the clinical session or used for any other purpose.

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OpenEvidence
OpenEvidence@EvidenceOpen·
Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart. Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient. Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them. Patient data is never stored after the clinical session or used for any other purpose.
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OpenEvidence
OpenEvidence@EvidenceOpen·
@AmineKorchiMD The hands-busy moment is when the question is likely to come up. Voice meets the physician where they are.
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Dr Amine Korchi
Dr Amine Korchi@AmineKorchiMD·
Voice is becoming one of the biggest things in healthcare AI today. We will likely type less and talk more with machines, sooner than we think. Ex. : @EvidenceOpen now speaks ! 👇
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OpenEvidence
OpenEvidence@EvidenceOpen·
Between rooms. On rounds. Walking the corridor outside an OR. Charting one-handed during a phone call. This is where clinical questions happen. Today we're launching Voice Mode. OpenEvidence is the first multimodal medical AI: physicians can type, speak, or listen, on the same evidence base. The clinician asks a clinical question out loud. Voice Mode waits when you pause, stops when you interrupt. The answer comes back concise, peer-reviewed, and verifiable against the source. Conversation with a colleague. That was the bar. For years we've focused on the intelligence: curation, retrieval, citations. Voice Mode is the interface catching up to where physicians practice. The evidence quality doesn't change with the modality. Voice answers are shorter and shaped for listening; the references and the full written form stay in the conversation. Voice Mode is now in OpenEvidence web and mobile.
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Anthony DiGiorgio, DO, MHA
Anthony DiGiorgio, DO, MHA@DrDiGiorgio·
This could actually be great. Right now we pay people to comb through a very fragmented medical record and piece together a cohesive picture. They often fail. This could change all that. I’m cautiously optimistic.
OpenEvidence@EvidenceOpen

Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart. Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient. Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them. Patient data is never stored after the clinical session or used for any other purpose.

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Isaac Kohane
Isaac Kohane@zakkohane·
It's a winner interview w insight into @EvidenceOpen but also indirectly into my friend, former student and mentor to Travis Zack: @atulbutte
David Shaywitz@DShaywitz

Today's eg of "temptation bundling" (h/t @katy_milkman) - have saved latest, much-anticipated @NEJM_AI pcast w CMO of @EvidenceOpen Travis Zack to listen to on extended morning jog. @zakkohane @arjunmanrai @AndrewLBeam @EmilyBreslow podcasts.apple.com/us/podcast/the…

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NEJM AI
NEJM AI@NEJM_AI·
How should AI support decision-making? Dr. Travis Zack, CMO of @EvidenceOpen, addresses that question in the latest episode of AI Grand Rounds. He also takes us behind the scenes of the start and growth of the company. Full episode available now: nejm.ai/ep42
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OpenEvidence
OpenEvidence@EvidenceOpen·
AI in oncology will be shaped by the oncologists who use it. Travis Zack with Dr. @jamecancerdoc in The ASCO Post on what that requires.
The ASCO Post@ASCOPost

🖥️ #ASCOAI: AI literacy is becoming essential in oncology Travis Zack, MD, PhD, of @EvidenceOpen emphasizes that physicians must actively shape how #AI is implemented to ensure these tools safely solve meaningful clinical problems and support patient care: ascoai.org/videos/newsree…

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OpenEvidence
OpenEvidence@EvidenceOpen·
@statnews Join STAT Breakthrough Summit West tomorrow, in person or virtual. We're looking forward to the interview.
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STAT
STAT@statnews·
Join STAT correspondent Mario Aguilar and @EvidenceOpen to discuss how it disrupted legacy medical reference tools by winning over hundreds of thousands of clinicians with AI-powered search — and where the company goes next.
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Kashif Chaudhry
Kashif Chaudhry@KashifMD·
I think every clinician should understand tools like @EvidenceOpen, which I use almost every day. While it is not a replacement for judgment, training, or patient context, when used responsibly, is an efficient evidence assistant & one of my best “colleagues” for rapid literature-grounded thinking. nbcnews.com/tech/tech-news…
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OpenEvidence
OpenEvidence@EvidenceOpen·
@KashifMD Love the colleague framing. The clinician does the thinking. OpenEvidence makes sure the literature is one step away when they want it.
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Keşfet

@vintweeta @CedarsSinai @KevinShahMD @bmorecardiology @AmineKorchiMD @atulbutte @AaronMiri @jamecancerdoc