Travis Zack✓

WCM Emergency Medicine @WCMEmergency

Dr. Travis Zack from @OpenEvidence delivers his talk on "Synthesizing Medical Literature: The New Era of AI-Driven Evidence" at our Virtual Healthcare in the Mainstream Symposium & Research Forum.

Harlan Krumholz @hmkyale

3 in 10 U.S. adults use AI chatbots for health information. Almost 1 in 5 say they cannot afford to see a provider. @FDA asked how it should judge these systems. My answer starts w/the comparator. Comments close today. My @JACCJournals Editor’s Page:

OpenEvidence @OpenEvidence

It happened. We got Behind the Knife. @BehindTheKnife's surgical education library will feed into OpenEvidence answers, and OpenEvidence will be built into their ABSITE and oral board prep. @AmbarMehta, a vascular surgeon who leads surgery initiatives at OpenEvidence, puts it this way: the toughest surgical decisions live between the lines of the evidence.

OpenEvidence @OpenEvidence

Johns Hopkins established the model for American medical education more than a century ago. Today @HopkinsMedicine and OpenEvidence announced a collaboration to define what that education should look like in the AI era, and to ground clinical care in the latest evidence. As AI learns to synthesize the world's medical knowledge in seconds, the clinician's role moves toward clinical judgment, first-principles reasoning, and the human work of caring for patients. The education model Johns Hopkins and OpenEvidence will design builds on those foundations, with a deeper grounding in pathophysiology and evidence-based medicine. Knowing why an ACE inhibitor works is understanding a physician carries through an entire career. Together we'll also build human-first AI that puts the best available evidence in the context of each patient's medical history and Johns Hopkins' best practices, so clinicians can reason through that information faster and make the best decision for their patient. Sanjay Desai, Vice Dean for Education at Johns Hopkins Medicine, says AI "invites us back to the bedside." For the educators here: which skills do you want every trainee to keep sharp?

Jim Siegler, MD, FAHA @JimSiegler

Evidence that AI won’t replace us 👇🏼 Generative, evidence-based AI still requires CLINICIAN SCIENTISTS to produce original research to provide high quality syntheses of information. Thank you @OpenEvidence @NEJM! @ShadiYaghi2 @RichaSharmaMD

illiquid @lefttailguy

Rough back of the envelope math: if 40% of US physicians are OpenEvidence DAUs (60%+ are registered users) and there's ~22 workdays a month, 42m queries in August implies ~5 queries per workday day per physician (Google is ~4.2 searches per day and ChatGPT is ~2.5 queries per day). This kind of pulse on real-time clinical uncertainty is remarkable. Imagine you could now categorize those queries to create a map of the frontier of knowledge / know-how in medicine, and what's missing. By doing so, OpenEvidence is creating the closest thing to a universal ledger of medical problems and solutions. OpenEvidence can see for which flavors of clinical uncertainty existing knowledge / know-how / solutions are most scant (or don't exist at all). They can then find and plug in that knowledge / know-how, create it by funding studies / initiatives, and eventually even discern the best heuristics / simulation environments to train the judgement of the next generation of human capital in the life sciences. You start to see how OpenEvidence's flywheel will start to spin a lot faster than the labs in terms of medical capabilities. The general lesson here is that it's all about your product sensing and enumerating demand in some valuable subset of economic reality faster than competitors. In this case, OpenEvidence enumerates physician demand for medical knowledge / know-how that can help solve patient problems. They do this faster and with higher fidelity than anyone else. This is incredibly valuable.

Harlan Krumholz @hmkyale

Search engines gave patients documents. LLMs give them an interpretation and a plan. The information asymmetry that reinforced the physician's authority is eroding. Where that leaves physicians, in my Editor's Page (free to read): @JACCJournals

David Shaywitz @DShaywitz

Timely @RBMD1982 NYT on how AI (looking at you, @OpenEvidence) has made her a better doctor, while increasing her concern about the doctors-in-training perhaps leaning too heavily on the technology. @AdamRodmanMD quoted. @zakkohane @goldbergcarey

Rachael Bedard @RBMD1982

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:

Al-Ola A Abdallah MD (USMIRC) @Abdallah81MD

🇺🇸 Where is the strongest oncology workforce capacity in the U.S.? We developed an exploratory Oncology Workforce Capacity Index (OWCI) integrating Hem/Onc physician supply, fellowship training, demographic need, economic capacity, and labor environment. The striking finding: oncology workforce capacity varies dramatically across states. This isn’t a measure of cancer-care quality—it highlights how differently oncology resources and infrastructure are distributed across the country. Could this help identify where future workforce investment is needed most? 🩸🎗️ #Hematology #Oncology #CancerCare #HealthcareWorkforce #HealthPolicy #MedEd #USMIRC

Hope Rugo @hoperugo

Finally!! Sheparding in a new era. FDA Grants Accelerated Approval to a New Breast Cancer Treatment @oncoalert