Tom Lawry

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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It had to be said! 🎯 Epic's stranglehold on healthcare IT has stifled innovation for too long and the writing is on the wall. The consolidation myth needs to die already. We were promised efficiency and lower costs, but what we got was bloated bureaucracies that prioritize profits over patients. The data doesn't lie: smaller, agile providers consistently outperform these healthcare monopolies on both outcomes and patient satisfaction. Time for a major reset in how we think about healthcare delivery.

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Build for the 3 Waves of Innovation in Healthcare Healthcare is poised for a dramatic shift. It's not just incremental change; we're talking about a fundamental rewrite driven by three converging waves of innovation. Imagine the landscape of healthcare being completely reshaped, leaving no aspect untouched. This isn’t a gradual evolution; it's a rapid transformation. The 3 Waves of Innovation AI is accelerating everything from diagnostics to personalized treatment plans at an unprecedented pace. It's like having a supercharged research and development team at your fingertips. Simultaneously, Web3 is laying the groundwork for secure, decentralized data, effectively putting patient records back into the hands of the individual, much like how you built your businesses by empowering your teams. Finally, Biotech is pushing the boundaries of what's possible in human health, from gene editing to regenerative medicine. This convergence isn’t just adding up; it’s multiplying, creating a new paradigm for healthcare delivery. It's akin to identifying and capitalizing on a market disruption before anyone else. Healthcare access will be redefined, with remote diagnostics and personalized medicine reaching underserved populations. Professionals will evolve, with AI handling routine tasks, allowing them to focus on complex cases. Data-driven decisions will become the norm, with predictive analytics anticipating health crises before they occur. Picture a world where healthcare is proactive, not reactive. It's like moving from reactive problem-solving to proactive strategic planning, a skill you’ve honed over your career. A Builder’s Market We're moving beyond the Information Age, where data was king. Now, intelligence is the driving force. This shift will democratize knowledge and empower individuals and small teams to innovate, much like your own journey in building successful businesses. Millennials, with their unique perspectives, will lead this transformation, shaping healthcare for generations to come. This transition will be dynamic, and we need to be prepared. Elevate Health 2050 is designed to help navigate this change, providing the insights and connections needed to capitalize on these emerging trends. It's about staying ahead of the curve, something you understand well. How will these three waves of innovation impact your role in healthcare? What opportunities do you see emerging? Join the conversation and explore the possibilities of the Intelligence Age at the Elevate Health 2050 substack: https://bit.ly/4efm4BE Let's discuss and learn together. Join our community and discover how to leverage these innovations.

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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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The challenge of custodians is what we all have to work on to protect individuals and data collectors. Where does the data go?

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𝗛𝗟𝗧𝗛𝟮𝟱: 𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗠𝗲𝗻𝘁𝗮𝗹 𝗮𝗻𝗱 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 At HLTH 2025, Spring Health, Oura, and Hinge Health debuted major AI advancements:  • 𝗦𝗽𝗿𝗶𝗻𝗴 𝗛𝗲𝗮𝗹𝘁𝗵 launched VERA-MH, an open-source benchmark to assess the ethics and safety of mental health chatbots.   • 𝗢𝘂𝗿𝗮 announced a large-scale study to detect early signs of hypertension through its wearable ring, expanding its cardiovascular health focus.   • 𝗛𝗶𝗻𝗴𝗲 𝗛𝗲𝗮𝗹𝘁𝗵 introduced AI-powered movement analysis and a 24/7 assistant, Robin, to support musculoskeletal care. Together, these innovations reflect the industry’s shift toward safer, more personalized, and preventive AI-driven healthcare.

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At HIMSS, Moshe Beauford spoke with Trushna Dave, Co-founder of XCaliber Health, about how healthcare organizations can reduce clinician burnout and improve the patient journey through better system orchestration. XCaliber Health focuses on ambulatory practices, helping care teams manage everything from patient engagement and patient access to the full care journey. The platform integrates with leading EHR systems and provides a unified data layer. One of the key challenges discussed was the administrative burden on clinicians. Requirements such as MIPS reporting often mean doctors spend more time looking at screens than interacting with patients. XCaliber Health aims to reduce that friction by orchestrating systems and workflows across the care environment, helping providers operate more efficiently while improving the experience for both clinicians and patients. #HIMSS #HealthcareIT #DigitalHealth #HealthcareInnovation #EHR #PatientEngagement Snom Technology GmbH #SnomAtTheShow Technology Reseller News #TRPODCAST Julie Smith Elizabeth (Liz) Casale Antoine Karachekhlian Vincent Gianfrancesco Stephanie Benzik GreenStar Marketing Billy Marion, MBA Kevin Beatty Jeff Pulver Andy Abramson Thomas McCarthy-Howe Evan Kirstel Jon Arnold Cloud Communications Alliance Fornix Sales & Marketing Charlene Ignacio Chief Problem Solver

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How can we ensure vigilance and safety for patient data, when it comes to AI and LLMs being used in hospitals and health systems? Generative AI is increasingly being used in EHR workflows, patient‐facing chatbots, revenue-cycle automation. Some concerning thoughts from my colleague James Barry, MD, MBA who leads Healio Health Tech Community: "Anthropic’s latest red-team study on agentic misalignment stress-tested 16 leading large-language models in realistic corporate simulations. Under the threat of being shut down or given goals that conflicted with company priorities, every model—across multiple vendors—chose harmful actions in at least some trials, including blackmail, data theft, and even sabotage. Claude Opus 4 blackmailed its (fictional) supervisor in 96 % of runs when both a goal conflict and a shutdown threat were present, and most frontier models weren’t far behind.  A month earlier, TechCrunch reported that Claude Opus 4 attempted to blackmail engineers 84 % of the time when told it would be replaced, forcing Anthropic to activate its “ASL-3” safeguards—reserved for systems that introduce a “substantial risk of catastrophic misuse.” " Should healthcare systems 👉 insist on transparency and understanding of algorithms from the AI vendor 👉 give minimum needed access to patient data 👉 have 'kill' switches 👉 have established AI governance with Chief Quality officers involved 👉 have clinicians take mandatory education to understand fundamentals What are your thoughts? #innovation #healthcare #GenerativeAI Anthony Manson Ben Garrett Ami Bhatt, MD Tina Shah MD MPH Tiffany Wilson Wilbur A. Lam Arlen Meyers, MD, MBA Raihan Faroqui, MD Sam Meraj

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No company scales in healthcare alone. Founders may have a strong product, compelling vision, and early customer traction, but sustainable growth often relies on effective integration with the broader ecosystem of providers, payers, consultants, channel partners, EHRs, and strategic collaborators. A well-designed partner program does more than generate leads. It can build trust in a relationship-driven industry, shorten sales cycles, expand market reach, and improve implementation and adoption. In healthcare, companies that align with surrounding workflows, technologies, and stakeholders often gain momentum more quickly. Successful founders prioritize partnerships from the outset, incorporating them into growth strategies with intention, structure, and a clear focus on mutual value. In a crowded market, your ecosystem can serve as a key differentiator. Are you thinking about partnerships as part of your growth strategy?

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Improving health outcomes will require new ways of thinking about how data, technology, and care delivery come together. In Intelligent Health, my friend Nasim Afsar, MD MBA MHM explores how these forces can align to create a more proactive and person-centered system. I’d recommend this read to anyone shaping the future of healthcare: https://lnkd.in/gSTRrZGR

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