Suvas Vajracharya

UCSF Chair of Medicine Robert Wachter (author of "The Digital Doctor" and "A Giant Leap") on Doctronic in his Substack: "Personally, I'd have no problem using this system to refill my Lipitor." He also flags that we may be the first company to buy malpractice insurance for autonomous AI in medicine. (We are.) I'm genuinely humbled by the mention. Bob has shaped how a generation of physicians thinks about technology in medicine. Everyone should read his take on why this week marked "the moment AI moves from advising on care to actually delivering it": https://lnkd.in/eqpFgC2Y

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I’ll be attending the Precision Medicine World Conference (PMWC 2026), March 4–6 in Santa Clara. At OmicXHealth, we’re building an AI/ML-driven computational medicine platform for early disease detection and stratification, using cfDNA methylation as a foundational signal. Our initial focus is liver disease and liver cancer screening, with the broader goal of enabling scalable detection across multiple diseases from a single sequencing assay. PMWC brings together leaders across genomics, AI, and translation, exactly the ecosystem needed to move computational medicine from promising models to real-world impact. If you’re working at the intersection of AI, precision diagnostics, or data-driven disease stratification for screening or drug development, I’d love to connect. @Tal Behar @PMWC – Precision Medicine World Conference #PMWC26 #ComputationalMedicine #PrecisionDiagnostics #AIinHealthcare #BiotechFounders #PrecisionMedicine #TechBio #MolecularDiagnostics #LiquidBiopsy

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Our recent peer-reviewed paper on JMIR AI: The Leading Journal for Real-World AI Applications in Medicine with Mount Sinai Health System evaluates the performance Tailored #NLP Pipelines for Radiology, Pathology, and Progress Notes in #ClinicalDecisionSupport: https://lnkd.in/gcmFpxEK #ai #research #healthcareai #healthai #datascience #textmining

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The UC San Diego Health team led by Karandeep Singh Jeffrey Pan Josh Glandorf Alexander Khalessi, MD, MBA are leading the way in how to thoughtfully and systematically develop and deploy AI to transform healthcare operations, clinical outcomes, and patient experience -- at enterprise scale. They are breaking barriers and writing best practices in real-time as they create an industry-leading program. I guarantee that you will walk away from this session with dozens of practical tips that you can implement in your organization right away, whether you are a Notable customer or not. I know this because I learn something new every time I talk to this team.

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Scribes, AI or otherwise, are completely useless in healthcare. You CANNOT document patient encounters with "notes" in language. All you've accomplished is putting paper records behind the glass of the monitor. That's stupid and you can tell that bizdiot Judy Faulkner I said so. You need a data driven EMR that is searchable and relatable. Before you say "mine is" or "AI," no it's not. Sentia has provided a data driven EMR that relates symptoms to observations to clinical measurements to lab results to diagnoses to treatments to outcomes. You can literally pick a list of symptoms and get her back a collection of cases with positive outcomes. You can't do that with language. It's also faster, easier and cheaper than typing "notes." Stop. You are doing it wrong. Start over with a real EMR that is built the way it should have been in the 70s if Judy had a brain in her head. Read this: https://lnkd.in/gR3ArMD9

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Amazing collaboration between Google and Stanford University School of Medicine empowering Healthcare Professionals in complex cardiology care #AIforHealthcare #DeepMind #GoogleCloud #HealthcareTransformation

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Can AI actually improve oncology care—without adding complexity for clinicians? On March 24 at 11 AM PDT, I’m sitting down with Dr. Dana Chase from UCLA Health to share how AI is being deployed in real gynecologic oncology settings to support patients and expand access to clinical trials. We’ll walk through two Botco.ai implementations being studied at UCLA: • AskGRACE — a 24/7 AI patient companion for symptom guidance, medication safety, and education • OncoTrial Match™ — AI-powered trial matching that identifies nearby recruiting studies and automates referrals in under 90 seconds We’ll also talk candidly about what it takes to implement AI in oncology—governance, clinician adoption, workflow integration, and measuring real impact. If you care about practical AI in healthcare, this one’s for you. 📅 March 24 | ⏰ 11 AM PDT Join us. Reg below link in comments.

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HIMSS is almost here, and I’m looking forward to catching up with so many of you. I'm especially looking forward to our session with UC San Diego Health. Karandeep Singh and Jeffrey Pan will showcase how they're using Notable's Platform and AI Agents to act as a critical workforce multiplier, transforming patient access, care operations, and RCM across the enterprise. Learn more about everything we have going on at HIMSS here: https://lnkd.in/gQifSd2A. And definitely come say hello if you're attending!

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Let's be real: why is accessing healthcare so much harder than ordering a pizza or checking your bank balance? 🍕 The bar for client experience is rising everywhere, and folks need the same easy, responsive service for Medicaid they get for any (well, almost any 🤭) consumer service we all use in our day-to-day lives. And ya know what? While we improve client experience, we can also fix some of our dare-I-say busted processes to reduce costs and administrative overhead. No brainer! Marko Mijic and team really hit this home for me with this brilliant new policy brief on the future of the social safety-net. This is the conversation we need to be having across the public sector! The idea the authors call Precision Benefits - delivering the right support to the right person at the right time - will be a game changer for the *1 in 5 Americans* who participate in Medicaid/CHIP. Better experience for the individual=greater efficiency and cost-effectiveness for the state? Let's do it. 🚀 Read the full policy brief here: https://lnkd.in/gEDe5ZNy

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Clinicians want to use AI but don’t have the bandwidth to evaluate all the different models. Meet Health Olymp, an AI tool purpose-built for clinicians. Here’s why this matters 👇 1. Health and life science experts gain instant access to frontier models for free. No procurement hoops or IT bottlenecks. Every clinician gets their own sandbox to explore. 2. Clinicians can compare models side by side and pick the one that works best for their use case. That transparency builds trust and sparks ideas for novel AI applications in care delivery, diagnostics, and research. 3. Most AI benchmarks are too generic or disconnected from clinical reality. Health Olymp brings frontline feedback into the loop, helping the industry identify models that perform reliably in real world clinical environments. Congrats to Ruslan Nazarenko and the Lumos team as they put AI model benchmarking directly into the hands of healthcare professionals. ⬇️ (link in comments)

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https://lnkd.in/d-fxsrYx "She said “machine learning” in cancer treatment development means feeding this big data systematically and repeatedly into algorithms that eventually create an AI “expert” that recommends predictions and models for cell features most likely to yield successful results for humans."

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As the healthcare industry goes into the scaling phase of AI incusion within our infrastructure and decision making, I love the this quote from Laksh, Autonomize’s CTO: “Durable systems require domain knowledge baked into the architecture itself. In healthcare, domain understanding isn't a feature. It's the boundary condition for success” We are working tirelessly to ensure these worlds come together and deliver durable systems of our future. Great read, take a look.

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🧠 Shout-out to Neura Health Co-Founder and CTO, Sameer Madan, and MD Olivia Begasse de Dhaem, M.D., FAHS for a new publication in Current Neurology and Neuroscience Reports! This review explores how the integration of structured data tools—intake forms, validated questionnaires (MIDAS, HIT-6, PHQ-9), headache diaries, and EHRs—can improve diagnostic accuracy, triage efficiency, and treatment personalization in migraine care. We're particularly excited about this given the advent of AI, which is all the more powerful atop high volumes of structured data. 📄 “Charts, Calendars, Questionnaires & Intake Forms: Navigating the Options When Caring for Patients with Migraine” 🔗 https://lnkd.in/eFyPY8Fm 📊 Key highlights: 👉Headache calendars and digital diaries reduce recall bias and improve data granularity for clinical decisions. 👉Digital tools showed higher adherence than paper-based tracking in a study of 1,500+ users. 👉MIDAS scores and EHR-integrated diaries can support reimbursement documentation, treatment changes, and quality reporting. 🎯 Neura Health is featured for its innovative approach: 👉 Intake forms, patient reported outcomes, and headache diaries are automatically integrated into the EHR, reducing charting burden and surfacing key data (e.g., high MIDAS scores) for clinician review. 👉 Technology allows patients to engage pre-visit, with high user compliance and support for clinician workflow optimization. 👉 Demonstrates how digital infrastructure can scale access without increasing disparities—thanks to multilingual, mobile-first, and intuitive design. As clinical complexity and volume grow, thoughtful technology like Neura’s is essential to deliver efficient, data-driven, and equitable specialty care. #DigitalHealth #Neurology #EHRIntegration #MigraineCare #ClinicalWorkflow #PROs #NeuraHealth #HealthcareInnovation #DataDrivenCare #MIPS #publication

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Introducing MSK ACCESS — powered by RevelAi Health × Limber Health A hybrid AI and clinical intelligence platform built to close the MSK care gap for Medicare patients. At RevelAi Health, we've spent the last three years deploying conversational AI agents across hundreds of thousands of Medicare patient encounters — focused on MSK care coordination, patient-reported outcomes, and closing the gaps that exist between a clinical recommendation and sustained patient engagement. Today, we're taking that work further. MSK ACCESS combines RevelAi's AI agentic infrastructure with Limber Health's home exercise and remote therapeutic monitoring platform, trusted by thousands of PTs and deployed across millions of patients, to create a care layer that extends the reach of clinical teams to meet Medicare patients where they are. I want to be clear about what we believe and what we're building: We are not replacing or disintermediating clinicians. We are augmenting them. We are partnering directly with physicians, physical therapists, and the organizations that deliver care. As an orthopedic surgeon, I have a strong conviction that clinicians and value-based care operators need complete insight and transparency into robust data on how their patients are actually performing on these programs. That's what we've built. Since founding RevelAi, we've made it our mission to understand the policy landscape — TEAM, MSSP, ACCESS, ASM — better than anyone, and to pair that expertise with clinician-informed technology. MSK ACCESS is the next evolution: a policy-informed engine that enhances guideline-concordant care delivery and serves as partner technology helping organizations close care gaps and meet quality goals. I couldn't be more energized to build this alongside Dr. Marc Gruner , whose depth in value-based care strategy and vision for outcomes-focused musculoskeletal care is exactly what a platform like this demands. We believe the CMS ACCESS Model is a wedge to extend the technology and reach capabilities of ACOs and value-based organizations. And we're already partnered with many care organizations championing accountable are today. Our goal is to help organizations build virtual-first, AI-native platforms that close care gaps through close alignment in ACCESS, upskilling them in AI capabilities while delivering best-in-class care informed by clinicians and policy experts who know what works. This is the beginning of a broader transition in healthcare to outcome-aligned payment, and this model of care is in our DNA. Built for ACOs, PT groups, health systems, orthopedic practices, and clinically integrated networks ready for what's next. 📅 Webinar: March 12th — Join Marc and me to walk through how we're deploying MSK ACCESS and what it means for your organization. 🌐 MSKaccess.com — link in comments #MSKAccess #HealthcareAI #ValueBasedCare #CareCoordination #RevelAiHealth #LimberHealth #CMSInnovation

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Stanford Medicine recently introduced CRISPR-GPT, an AI tool that helps researchers design and troubleshoot gene-editing experiments with significantly less trial-and-error. Early-career scientists ran successful experiments on their first attempt with #AI guidance. That tells you something about where this technology is going. I keep seeing the same pattern across different fields: well-designed technology doesn't replace expertise, but helps more people develop it. That’s also a big part of the work I’m involved in. The goal is similar: reduce barriers, shorten learning curves, and support better real-world decisions. An interesting look at how AI is reshaping hands-on learning and scientific work, and where it might lead: https://lnkd.in/eRrefWvg

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It is important to keep in mind that LLMs are not doctors and they don't get medical (including mental health) information correct a lot of the time. Passing an MCAT doesn't mean a person is ready to operate and passing the standard LLM evaluations doesn't mean an LLM is a doctor. More research and specific evaluation, along side user skepticism/education and model guardrails, are needed. Great work here!

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Following our last publication on CHATRWD we are releasing this pre-print today introducing a a standard framework to evaluate and LLM’s ability to accurately summarize evidence from studies. Comparison here across our platform using multiple LLMs (Google Anthropic OpenAI) with interesting progress from each and cost implications. Our focus here is because Answering with Evidence matters, when it comes to physician trust. This paper highlights wether or not the LLMs could figure out statistical significance (p value), direction of effect, and other metrics when summarizing studies. We believe we are entering the phase where it’s not just good enough to summarize studies, you must do it accurately and it must “Answer the Question with Clear Evidence”. More to come from us soon on this topic, stay tuned Atropos Health .

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These exits matter. Not because they make headlines, but because they reveal something deeper about direction and integrity inside organizations. Yann LeCun, Meta’s longtime Chief AI Scientist (Turing Award winner, and considered one of the founding fathers of modern deep learning) is reportedly leaving Meta to launch a new company focused on world models that learn from video and spatial data instead of text. Behind the scenes, this move follows Meta’s sweeping AI reorg, where LeCun began reporting to Alexandr Wang and FAIR (Meta’s AI research lab) saw over 600 roles cut. His departure is symbolic. In every sector, whether we’re talking about Big Tech, Medicaid transformation, or public-sector AI, these moments mark a fork in the road: Do we double down on scale, speed, and short-term returns? Or do we stay anchored to long-term scientific integrity, transparency, and human benefit? For those of us working at the intersection of AI and social systems — Medicaid, behavioral health, aging services — these leadership shifts aren’t just gossip. They’re reminders of what happens when values and vision diverge. MettaHealth Partners we believe integrity at scale isn’t just a nice-to-have. It’s the only way AI can serve the public good. — 💡 If you lead teams or design systems in public health or social services, this is the moment to ask: Are we aligning our AI direction with our mission — or just following the market? #AIethics #PublicSectorAI #MedicaidInnovation #Leadership #Integrity #DigitalTransformation https://lnkd.in/gpqyQxbZ

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