⌚️ Wearables Just Got Political — and That Changes Everything The White House just made its boldest move yet toward proactive healthcare: 📲 A nationwide initiative to integrate wearables into public health 📈 Every American encouraged to track HRV, glucose, sleep, stress & more 💡 The goal? Shift from treatment → prevention 𝗪𝗲𝗮𝗿𝗮𝗯𝗹𝗲𝘀 𝗮𝘀 𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. Let that sink in. 🩺 𝟔𝟎% 𝐨𝐟 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧𝐬 suffer from one or more chronic illnesses 💸 𝟗𝟎% 𝐨𝐟 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐬𝐩𝐞𝐧𝐝𝐢𝐧𝐠 goes to preventable conditions — but most people wait for a diagnosis to start caring ⌚️ 𝟏 𝐢𝐧 𝟑 𝐚𝐦𝐞𝐫𝐢𝐜𝐚𝐧𝐬 already wear a health tracker So whats the plan? The U.S. government launched the Health Tech Ecosystem Initiative — bringing together Apple, Google, Oura, OpenAI, Microsoft, Cleveland Clinic, and many others to: • Build interoperable systems • Enable real-time access • Put users in control of their health data (hope so) It’s a massive shift. But also: a massive opportunity. Here’s the catch: Data without context is just noise. We don’t just need more devices. We need systems that understand... 🧠 Your physiology 🍽️ Your nutrition 💤 Your sleep 🏙️ Your environment 🧬 Your biomarkers This isn’t about passive tracking. It’s about real-time intelligence — embedded into everyday life. For decades, we treated illness only once it showed up. Now, for the first time, we’re building systems that could act before the crisis. 📲 The US government isn’t just endorsing wearables. It’s acknowledging that real-time insight is the next layer of healthcare infrastructure. But let’s be clear: • Without interoperability → it’s fragmented • Without trust → it’s surveillance • Without coaching → it’s just noise The real breakthrough? 🔁 Contextualized intelligence 🧠 Interpreted by AI 🌍 Informed by your environment 🎯 Delivered with purpose 👥 Empowering humans & professionals The future of healthcare? It’s proactive. It’s predictive. It’s hyper-personalized. And for the first time ever — It might just scale. This won’t happen overnight. Some countries will move faster, others will regulate longer. Trust, governance, and ethical data use will define the path forward. But the direction is clear. The question isn’t if this shift will happen… it’s how we will shape it. And what’s Europe’s response to this shift? Are we ready to reimagine health tech as a collective priority too?
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The FDA just updated its lists of medical devices that incorporate digital health technologies, now including sensor-based digital health technologies (sDHTs) for the first time. 🔗 https://lnkd.in/d3wg_6rm While AI/ML-enabled and AR/VR devices have been tracked for some time, the addition of sDHTs is exciting: ✅ It signals maturity. Reimbursement pathways for remote patient monitoring (RPM) and remote therapeutic monitoring (RTM) are now well established and delivering real value, driving a double bottom line for care providers and the patients they serve. ✅ It reinforces regulatory clarity. Despite ongoing hesitation in life sciences to embrace digital endpoints, the FDA continues to demonstrate its ability to evaluate these tools and its commitment to supporting high-quality innovation in the digital era of medicine. We had a little fun at the Digital Medicine Society (DiMe) this afternoon doing a quick cut of the data across AI/ML, AR/VR, and sDHTs: 📈 AI/ML dominates the landscape, with explosive growth starting around 2015 🧠 Neurology is a leading therapeutic area across all three categories 🫀 Cardiovascular dominates sDHT use cases and is also well represented in AI/ML and AR/VR 🩻 Radiology leads in AI/ML and AR/VR, but is absent in sDHTs 🧪 And spoiler: CGMs show up under clinical chemistry 😉 We’ll share more next week as we sit with the data a bit longer. In the meantime, kudos to FDA's Digital Health Center of Excellence for making this information public. It is only thanks to these newly released data that we can start to see the full picture. The landscape of medical devices incorporating digital health technologies is maturing quickly. It is increasingly capable of meeting the needs of our healthcare system and the patients we serve, and rising to the ambitions of a new administration committed to fully realizing the promise of digital health. #DigitalHealth #FDA #sDHT #RemoteMonitoring #RPM #RTM #DigitalEndpoints #HealthAI #HealthTech #CGM #RegulatoryScience #Innovation #ARVR #MedicalDevices
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🏥 Two #wearable companies. Combined valuation: over $20 billion. And we're just getting started. WHOOP has just raised $575 million in a Series G round at a $10.1 billion valuation. What is especially notable is not only the size of the round, but the signal behind it: investors include Abbott and Mayo Clinic. That suggests wearables are increasingly being seen not merely as consumer wellness products, but as strategically relevant assets in the future of healthcare. Meanwhile, ŌURA has been reported at roughly an $11 billion valuation, reinforcing the scale of market confidence in continuous, consumer-facing health monitoring. What makes this shift important is not just the hardware. It is the growing clinical relevance of continuous, real-world data. Recent literature shows that wearable technologies are moving beyond lifestyle tracking into more serious remote monitoring use cases. A new Nature Portfolio study demonstrated that #smartwatch-based monitoring can support the remote assessment of heart failure patients using continuous physiologic and behavioral data. A JMIR mHealth and uHealth systematic review further showed that wearables are increasingly used for chronic disease monitoring, especially in cardiovascular and neurological applications. At the same time, the real acceleration comes from analytics. As #AI-enabled interpretation improves, wearable data is becoming more actionable: not just raw signals, but contextualized information about recovery, stress, rhythm, activity, and deterioration risk. A JMIR systematic review on AI-enabled medical devices highlights wearable monitoring as one of the domains where AI is enabling more continuous, #personalized health management. This is why wearables are becoming strategically relevant beyond consumer tech. They are helping to push healthcare away from a model that mainly reacts to illness, and toward one that increasingly supports prevention, early detection, and continuous management. A recent European Heart Journal – Digital Health review describes wearable technologies as part of a transformation in cardiovascular care through continuous monitoring outside traditional clinical settings, while also making clear that large-scale impact still depends on validation, workflow integration, and governance. For those of us working in healthcare IT, the key question is no longer whether wearable-generated data will matter. The real question is: Are our health IT systems ready to receive, contextualize, and operationalize this data? #DigitalHealth #Wearables #RemotePatientMonitoring #PreventiveCare #AIinHealthcare #HealthcareIT #Interoperability #DigitalTransformation #Virgobit
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From “wellness gadget” to health infrastructure in just a few years. Wearables are not slowing down. In health and longevity, WHOOP, Oura, Ultrahuman and others look like breakout products, but the truth is, this is now much bigger than “wellness”. In investor and founder circles, many still talk as if wearables are just toys. They look at today’s step trackers and sleep scores, not at what this layer becomes when AI, diagnostics and continuous monitoring come together. If you had asked ten years ago whether people would pay every month to track sleep, HRV, glucose, or recovery, most would have said: too small, too niche. Fast forward to 2025 and we see: – tens of millions of devices shipped – real subscription revenue – platforms moving into biomarkers, labs, and even regulated use cases So what does this mean for the next chapter of health? → Category leadership is shifting We move from single products to health platforms. The winners are not just “ring vs band”. They combine wearables, lab tests, imaging and AI into one Personal Health OS. A mix of hardware, diagnostics and subscription creates both scale and staying power. This is no longer about a gadget on your wrist. It is about infrastructure for prevention. → The competitive race is changing Big tech (Apple, Samsung, Google) and specialized players (WHOOP, Oura, Ultrahuman, Function Health and others) are running into each other. One side has: – huge ecosystems – app stores – deep pockets The other side has: – focus – faster product cycles – a clear prevention-first story Focus and trust in health can be a real advantage, but nobody can relax here. Technical moats are thin. Distribution, engagement and outcomes will decide a lot. → Toward a real Health OS Everyone now talks about owning the “health OS”. I see three layers: – diagnostics (labs, imaging, biomarkers, wearables) – AI (analysis, pattern detection, risk prediction) – daily life (sleep, movement, nutrition, stress, relationships) The Health OS connects these three. Your ring, your lab panel, your MRI, your behavior data sit in one loop: test → analyze → act → re-test. That is where prevention becomes real. Not more data, but data that fits into your life and leads to clear actions. What I will be tracking the next years: – How far platforms move from wellness into regulated healthcare without losing user trust – Which companies can prove real outcomes – Whether they can grow beyond early adopters – How diagnostics-first models reshape oncology, prevention and longevity – Which players become true “health infrastructure”, not just one more app on the phone If you build or invest in this space, this is your window. Entire categories in health and longevity are being created right now. The future of health is AI-based, but the real value sits in connecting diagnostics, data and daily life. Where do you see the biggest gap today between what wearables measure and what they actually help people change?
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Probably the biggest healthcare shift we’ve seen in a while 🤯 OpenAI just introduced ChatGPT Health, allowing patients to connect medical records, wellness apps and wearable data into a single conversational layer for on-the-go understanding of their results. If executed well (and safely), this could meaningfully close one of healthcare’s biggest gaps: what happens between doctor visits. As a medical doctor, I repeatedly saw patients leave appointments reassured, only to have questions or worries surface days later, with no easy, reliable way to sense-check them. This is where a tool like this can really help. Of course, there is a caveat reading data safety and protection. It’s important to remember that this is a consumer tool, not a HIPAA or GDPR-compliant clinical system, and it shouldn’t be used like one. While OpenAI has talked about safeguards, handling identifiable health data is quite complex, and it’s not yet clear how safe this will be in real-world use. Even with those caveats, it’s clear that AI is here to stay and will shape how care is delivered. It won’t replace clinicians, but used thoughtfully, it has a real potential to improve patient understanding, continuity, and confidence between visits. Interesting times ahead! https://lnkd.in/djcx8_av
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🤖 + 📱 AI + Smart Devices: Revolutionizing Our Fight Against Chronic Disease 📊 The statistics are sobering: chronic diseases account for over 70% of global deaths and cost the US alone $3.5 trillion annually. But at Eularis, we're seeing a revolution unfold through the integration of AI and connected devices that's transforming how we approach these conditions. 🔌 Connected medical devices are providing unprecedented convenience and real-time monitoring - from glucose monitors that help diabetes patients make better food choices to wearables that track vital signs continuously. The data shows these innovations are making a real difference, with remote monitoring reducing hospital readmissions for heart failure by nearly 30%. 🧠 What excites me most is how AI analytics are turning this wealth of patient data into actionable insights and allowing us to predict and treat prior to conditions getting serious. AI systems can now detect diabetic retinopathy with over 90% accuracy and predict complications before they occur. We're moving toward a future where personalized digital twins could simulate "what if" scenarios for different interventions, revolutionizing chronic care planning. ⏱️ Looking further ahead, we may see implantable sensors that continuously analyze biomarkers and automatically administer tailored therapies. ✨ The promise? We are already beginning to witness the first instances of actually "reversing" certain chronic diseases through early detection, proactive lifestyle optimization, and precision interventions before symptoms even arise. 🔄 This integration of AI, connected devices, and digital records is empowering patients while giving clinicians deeper understanding of individual conditions. I'm convinced that with collaborative effort from all stakeholders, we can transform chronic disease management worldwide. 💬 What's your experience with AI and connected devices in healthcare? I'd love to hear your thoughts. #AIinHealthcare #ChronicDisease #DigitalHealth #ConnectedCare
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The Wearable made the diagnosis. But the doctor never saw it. Why data Dies on your wrist or finger and What we Can do to Fix It. A new study followed patients with palpitations using a Withings smartwatch ECG and a traditional Holter. (See Below) In the study the Withings was easier to wear. Patients preferred it. But they kept hitting the same wall. The data does not easily reach the clinician. Smartwatches sit outside the clinical data fabric. They generate ECGs and heart rate alerts, but none of it lands in the chart unless someone screenshots it or holds up their phone during a visit. The problem isn’t the device. It’s the pipeline. The Bulky Holter monitor → EHR → Clinical action The Withings Watch → Patient → Nowhere To fix this we need a national pathway where validated wearable data can move safely into care. We need a TEFCA like backed layer for patient owned devices. What is TEFCA? In plain terms. TEFCA connects health systems, payers, labs, and apps through approved networks and it already moves clinical data like notes, labs, and imaging. Extending TEFCA to patient owned, FDA cleared wearables would mean the data can move into EHRs like other clinical data. Without that layer, wearable data stays trapped in apps, stuck in PDFs or the wearable companies database. We need to move toward a National Wearable Network Exchange. Wearables will stop being wellness toys. And the path from sensor to disease treatment becomes possible. Wearables are diagnosing diseases. How many have we already missed ? References Evert Karregat Pieter Voois Eric Wierda Ralf Harskamp Wim Lucassen, Jelle Himmelreich Eric Moll van Charante Patient experiences with a smartwatch 1L-ECG versus traditional Holter monitoring for ambulatory cardiac rhythm monitoring: a qualitative study BMJ Open 2025;15:e101557. doi: 10.1136/bmjopen-2025-101557
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From fitness tracker to clinical partner. In the San Diego Union-Tribune this week, I shared how wearables like smartwatches are no longer just about step counts—they’re becoming meaningful tools in patient care and health system strategy. We now have the ability to surface subtle physiological signals that can change the course of disease, not just track it. But that only matters if we use the data to act, not just to collect. As we integrate wearable technology into healthcare, three things are essential: ✅ Trust—patients must feel their data is secure and used to improve their care. ✅ Interoperability—systems must talk to each other so insights reach clinicians. ✅ Actionability—data should drive decisions, not overwhelm them. This evolution isn’t about replacing clinicians, it’s about empowering patients, providers, and systems to work smarter together. Read more here: 🔗 https://lnkd.in/eJPjb96q #DigitalHealth #Wearables #PatientEngagement #HealthcareInnovation #HealthEquity #SmartHealth
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I had the chance to speak with Reader's Digest Association 'The Healthy' for a new article exploring what our smartwatches can—and just as importantly, can’t—tell us about our health. As someone who spends a lot of time at the intersection of cardiology and digital innovation, this topic feels especially timely. Wearables have become part of our daily rhythm. They nudge us to stand, sleep, breathe, and hit our “zones.” They create awareness in a way traditional care never could. But as I shared in the interview, awareness is not the same as diagnosis. Some metrics remain imprecise, highly variable, or easily thrown off by motion, skin tone, ambient light, or even how tightly the watch is worn. When people treat those numbers as definitive clinical truths, that’s when confusion—and occasionally unnecessary anxiety—creeps in. What I love about this moment in connected health is that we’re finally moving past the novelty of data toward the real question: How do we turn signals into care? Smartwatches are incredible at giving us trends and prompts, but the real impact comes when those signals feed into thoughtful pathways, real diagnostics, and meaningful interventions. That’s the work we’re doing every day at Heartbeat Health—pairing engagement with actual care, and making sure people don’t feel alone with their data. If you’re curious, the piece is a great, honest look at where wearables shine and where they still need clinical backup. And it’s an important reminder: technology can guide us, but it takes humans to truly take care of each other. https://lnkd.in/eiPWSDW6 Charlotte Andersen #DigitalHealth #Cardiology #Smartwatches #ConnectedCare #HeartHealth
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🎯🎯 Empowering Health: Innovations in Wearable Health Tech 🎯🎯 Wearable health technology is transforming the way we monitor and manage our health, especially for those with chronic conditions. These innovative devices are making it easier for patients to stay on top of their health, providing real-time data and actionable insights. Here’s how wearable health tech is revolutionizing patient care: 1. Continuous Health Monitoring: 🟢 Real-Time Data: Wearable devices like smartwatches and fitness trackers continuously monitor vital signs such as heart rate, blood pressure, and oxygen levels, providing real-time health data. 🟢 Early Detection: By detecting abnormalities early, these devices can alert users to potential health issues before they become critical, enabling timely medical intervention. 2. Chronic Condition Management: 🔴Diabetes Management: Wearable glucose monitors help diabetic patients keep track of their blood sugar levels throughout the day, making it easier to manage their condition and avoid complications. 🔴 Cardiac Care: Heart rate monitors and ECG-enabled devices provide detailed cardiac data, helping patients with heart conditions monitor their heart health and share data with their healthcare providers. 3. Enhanced Patient Engagement: 🔵 Personalized Insights: Wearable tech offers personalized health insights based on the user’s data, encouraging healthier lifestyle choices and better disease management. 🔵 User-Friendly Interfaces: These devices are designed with user-friendly interfaces, making it easy for patients of all ages to understand and use the technology effectively. 4. Integration with Healthcare Systems: ⭕ Seamless Data Sharing: Wearable devices can seamlessly share data with healthcare providers, ensuring that doctors have up-to-date information to make informed decisions about patient care. ⭕ Remote Monitoring: Healthcare professionals can remotely monitor patients’ health, reducing the need for frequent in-person visits and allowing for continuous care. 5. Innovations on the Horizon: 🔘 Advanced Sensors: The development of advanced sensors is expanding the range of health metrics that wearables can track, from hydration levels to respiratory rate. 🔘 AI Integration: Artificial intelligence is being integrated into wearable tech to provide more accurate predictions and personalized health recommendations. Wearable health tech is empowering patients to take control of their health like never before. By providing continuous monitoring, personalized insights, and seamless integration with healthcare systems, these innovations are enhancing patient care and improving outcomes. #WearableHealthTech #HealthcareInnovation #ChronicConditionManagement #DigitalHealth #PatientCare #HealthTech #FutureOfHealthcare #SmartWearables #RemoteMonitoring #PersonalizedHealth
