Vivien Ho

Clinical practice guidelines take years to update. The literature doesn’t pause in between. We worked with @AAOHNS to build a methodology that continuously monitors emerging evidence against existing guideline recommendations and flags where the science has moved. They’re the first medical society to pilot it. The goal: the recommendation you rely on today reflects the evidence available today.

From NORD CEO Pamela Gavin: "People living with rare diseases and the families who support them deserve access to information they can trust, and clinicians need reliable resources they can use in real time." bit.ly/RareDiseasesOE

OpenEvidence just hit 1,000,000 clinical consultations in a single day Hard to bet against AI in health at this point

Our cofounder & CTO Zack Ziegler keynoted @PMWCintl yesterday. His talk started from one fact: ~half of US physicians use OpenEvidence. How do we do good for the world in ways that are only possible because of the scale of usage? His closing thought: "In 2024 and the first half of 2025 we saw the linear impact regime of AI in healthcare. At the scale we are at today, we have entered the super-linear regime, where increased adoption leads to better outcomes with impact that contributes more than the sum of its parts." The most interesting part of the story is about to start.

Open models are at the center of one of the most important shifts in AI. At #NVIDIAGTC, NVIDIA founder and CEO Jensen Huang is bringing together leaders from some of the most exciting AI companies to discuss what comes next. Featuring leaders from: @Allen_AI, @BFL_ML, @cursor_ai, @LangChain, @MistralAI, @EvidenceOpen, @perplexity_ai, @reflection_ai, @thinkymachines, and @UW.

Stanford Medicine Grand Rounds. OpenEvidence CMO Travis Zack on how the evidence doctors rely on should shape how AI delivers it. Physicians have asked OpenEvidence 150 million+ clinical questions. Travis’s argument: at that scale, medical AI stops being an information retrieval tool and starts becoming a new source of discovery and knowledge generation.

Honored to serve on the ASCO AI in Oncology Editorial Advisory Board alongside Dr. Abraham and this group. AI in Oncology only works if people shaping it are the ones treating patients.

We're collaborating with @SutterHealth to bring evidence-based clinical decision support into Epic workflows. Their physicians can now use OpenEvidence to search the latest medical literature in real-time, right where they're caring for patients. Announcement link 👇

For physicians, every day is Game Day.

Finding reliable information quickly is an important part of being a family physician. The pace of new research and updated guidelines can bog down even the most dedicated readers. That’s why I’m excited to share a new partnership between the @aafp and @EvidenceOpen—an AI-powered platform used by more than 500,000 health care professionals each month. Through this partnership, American Family Physician and FPM content will now be available within OpenEvidence, alongside leading journals like JAMA, Journal of the American Medical Association and The New England Journal of Medicine. This partnership is about meeting family physicians where they are and supporting clinical decision-making at the point of care. When used thoughtfully, AI tools like OpenEvidence can help cut through information overload, save time and reinforce high-quality, evidence-based care. As medicine evolves, the AAFP will continue to invest in partnerships that help family physicians focus on what matters most: caring for patients and communities. Read the full press release: openevidence.com/announcements/…

Breaking news! @aafp is partnering with @EvidenceOpen to make @AFPJournal and @FPMJournal content easier to access—helping you streamline your workflow and support deliver comprehensive, patient-centered care to your communities. bit.ly/49eQxi5

Family physicians see it all. Every age, every condition, every clinical challenge. They're also our most active users. Honored to partner with the American Academy of Family Physicians to bring American Family Physician and @FPMJournal to clinicians at the point of care. Read full announcement👇

We’re proud to announce our partnership with @ACEPNation. ACEP Clinical Policies and educational content will be integrated into OpenEvidence, supporting tens of thousands of emergency physicians at the point of care. Emergency Medicine is already one of the largest specialties on our platform. Read the full announcement 👇

In Offcall's new 2025 report surveying 1,000 doctors: 44% now use OpenEvidence daily. It's the clear #1 by a mile. The report sums it up perfectly: "Physicians are adopting AI on their own, often using personal subscriptions to the hottest AI tools, because their organizations can't move fast enough." Clinicians are voting with their keyboards. Powerful data from @grahamwalker and @OffCallDotCom

Announcing a collaboration with @AmDiabetesAssn to offer improved access to the ADA's Standards of Care in Diabetes, the gold standard for clinical practice. We'll also provide feedback on how guidelines are applied in real-world scenarios. An exciting step as we move to become an active partner in supporting the creation of evidence that shapes the future of medicine. bit.ly/4oyVGpB

@anaganath @kleinerperkins congrats aditya!!

@kleinerperkins was the first venture capital firm I ever heard of, when I read the Google book as a kid growing up in India. It had a constant halo in the back of my mind, even though I didn't know much about technology or investing at the time. I naturally jumped at the chance to apply to the @kp_fellows program in college and was fortunate to be a part of the 2014 engineering class. Things came full circle when I joined the investment team in May 2022. Now, I'm looking forward to serving as a partner where I'll continue to invest in early stage enterprise AI across applications, infrastructure and cyber 🫡

@brianzhan1 @BusinessInsider congrats brian!! so excited for you!

After three years at CRV, I am stepping onto Striker Venture Partners' founding team, leading the firm's AI investments. Thanks to @BusinessInsider for covering the move.

After playing around with @EvidenceOpen I think it's safe to say writing and publishing medical reviews is over. I asked it to summarize all the JAK inhibitors approved in myelofibrosis and it put it in a nice table for me. It will do this for anything and seems accurate.

The @NCCN’s Clinical Practice Guidelines in Oncology to be integrated into @EvidenceOpen’s medical #AI platform so clinicians can access trusted, evidence-based cancer care recommendations for decision-making support via natural language search #HealthAI ➡️ascopost.com/news/november-…

@JonSaadFalcon Very cool research! Congrats Jon!

Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW): intelligence delivered (capabilities) per unit of power consumed (efficiency). Today’s Local LMs already handle 88.7% of single-turn chat and reasoning queries, with local IPW improving 5.3× in 2 years—driven by better models (3.2×) and better accelerators (1.7×). As local IPW improves, a meaningful fraction of workloads can shift from centralized infrastructure to local compute, with IPW serving as the critical metric for tracking this transition. (1/N)