𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐢𝐧 𝐑𝐞𝐦𝐨𝐭𝐞 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 (𝐑𝐏𝐌) 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 2.5𝐐 2024 The landscape of Remote Patient Monitoring (RPM) startups has evolved into a dynamic and rapidly growing segment within the broader digital health industry. As we approach the latter half of 2024, RPM has emerged as a crucial technology for managing chronic conditions, improving patient outcomes, and enhancing healthcare delivery efficiency. The global RPM market has seen significant advancements, driven by the integration of AI, wearable technology, and continuous health data analytics. Startups across the globe are leading the charge by offering innovative solutions that cater to various aspects of patient monitoring, from cardiac health to chronic disease management, maternal and fetal health, and even mental well-being. In the United States, companies like Accuhealth, AliveCor, and Athelas are at the forefront, providing real-time health data tracking and mobile ECG monitoring solutions. The integration of continuous glucose monitoring (CGM) with insulin management by Bigfoot Biomedical (Abbott) and the in-home health monitoring offered by Casana Care's Heart Seat highlight the diversity and depth of the RPM market. European startups are also making significant strides, with the UK’s Doccla and Huma offering digital health platforms for continuous patient management, while France’s Bioserenity and Implicity focus on chronic conditions and cardiac health, respectively. The incorporation of AI and machine learning is a common theme, enabling predictive analytics and personalized care, as seen with PhysIQ in the USA and IDOVEN in Spain. Moreover, the RPM landscape is not limited to traditional health metrics; companies like Starling Medical and Spire Health are pushing the boundaries by providing remote monitoring for urine diagnostics and respiratory health. The use of advanced technologies, such as micro-radar by Israel’s Neteera and contactless monitoring by India’s Tricog, further showcases the innovation driving this sector. As the RPM market continues to expand globally, the convergence of AI, digital health platforms, and wearable technology is set to revolutionize how healthcare is delivered, particularly in managing chronic diseases, post-treatment recovery, and even preventative care. This landscape report provides an in-depth look at the key players and emerging trends shaping the future of remote patient monitoring. #RemotePatientMonitoring #DigitalHealth #AIinHealthcare #Startups
Advancements in Patient Monitoring Technology
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Summary
Advancements in patient monitoring technology are transforming healthcare by enabling continuous, real-time health tracking and predictive analytics. Innovations like wearables, AI algorithms, and remote monitoring tools provide personalized care, better manage chronic conditions, and allow early detection of health issues, empowering patients and improving outcomes.
- Embrace wearable technology: Devices like smart rings, continuous glucose monitors (CGMs), and respiratory trackers allow healthcare providers to monitor health metrics and intervene proactively when needed.
- Utilize AI-driven insights: Leverage AI and machine learning to analyze data from health devices, enabling the prediction of health issues like inflammatory flare-ups or heart conditions before they become critical.
- Adopt home-based care: Integrate remote monitoring and virtual tools to reduce hospital visits, streamline care delivery, and ensure patients receive timely support in their own homes.
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An important new study published in the peer-reviewed journal, Gastroenterology, has revealed the potential of wearable devices to predict flares of inflammatory bowel disease (IBD) up to seven weeks in advance. Researchers at Mount Sinai found that physiological data collected from devices like the Oura Ring, Fitbit, and Apple Watch can identify subtle changes in heart rate variability, heart rate, oxygenation, and activity patterns that precede flare-ups. Notably, Oura Ring proved particularly valuable in capturing these physiological changes. The ring's ability to continuously monitor heart rate variability, a key indicator of autonomic nervous system activity, allowed researchers to detect subtle shifts that often precede inflammation. This breakthrough could transform how IBD is managed. By providing early warning signs, wearable devices can empower patients and doctors to proactively adjust treatment plans, potentially reducing the severity and duration of flares. This non-invasive, continuous monitoring offers a significant advantage over traditional methods like blood tests and colonoscopies, which can be inconvenient and only provide a snapshot of disease activity at a given moment in time. Beyond IBD, the study's findings pave the way for personalized management of other chronic conditions, where wearable data is integrated with artificial intelligence algorithms to predict flares and manage disease on an individual basis. This could revolutionize the lives of the hundreds of millions of people living with chronic diseases in the US alone, offering a new level of control and improved quality of life. Oura’s capabilities as a powerful public research tool are no secret to those of us who have spent time with the product, and I’m thrilled to see others harnessing the power of Oura Ring to improve patient outcomes. #WithOura https://lnkd.in/ghUJ7zwV
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5 key developments this month in Wearable Devices supporting Digital Health ranging from current innovations to exciting future breakthroughs. And I made it all the way through without mentioning AI… until now. Oops! >> 🔘Movano Health has received FDA 510(k) clearance for its EvieMED Ring, a wearable that tracks metrics like blood oxygen, heart rate, mood, sleep, and activity. This approval enables the company to expand into remote patient monitoring, clinical trials, and post-trial management, with upcoming collaborations including a pilot study with a major payor and a clinical trial at MIT 🔘ŌURA has launched Symptom Radar, a new feature for its smart rings that analyzes heart rate, temperature, and breathing patterns to detect early signs of respiratory illness before symptoms fully develop. While it doesn’t diagnose specific conditions, it provides an “illness warning light” so users can prioritize rest and potentially recover more quickly 🔘A temporary scalp tattoo made from conductive polymers can measure brain activity without bulky electrodes or gels simplifying EEG recordings and reducing patient discomfort. Printed directly onto the head, it currently works well on bald or buzz-cut scalps, and future modifications, like specialized nozzles or robotic 'fingers', may enable use with longer hair 🔘Researchers have developed a wearable ultrasound patch that continuously and non-invasively monitors blood pressure, showing accuracy comparable to clinical devices in tests. The soft skin patch sensor could offer a simpler, more reliable alternative to traditional cuffs and invasive arterial lines, with future plans for large-scale trials and wireless, battery-powered versions 🔘According to researchers, a new generation of wearable sensors will continuously track biochemical markers such as hydration levels, electrolytes, inflammatory signals, and even viruses, from bodily fluids like sweat, saliva, tears, and breath. By providing minimally invasive data and alerting users to subtle health changes before they become critical, these devices could accelerate diagnosis, improve patient monitoring, and reduce discomfort (see image) 👇Links to related articles in comments #DigitalHealth #Wearables
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🏠 The Future of Heart Failure Care: Bringing Treatment to the Patient’s Home 🚀 At #THT2025, I had the privilege of speaking about a critical shift in heart failure (HF) management—moving beyond episodic, hospital-based care to a patient-centered, home-based model. The reality is that our current system is unsustainable, with: 📊 1.1M HF hospital discharges & 1.3M ER visits annually 📈 $31B in HF-related costs, projected to hit $70B by 2030 👥 A 46% expected increase in HF patients by 2030 Why Home-Based Management? ✅ Reduce hospitalizations & readmissions, increase health days at home ✅ Ease the burden on care teams with streamlined workflows ✅ Leverage emerging digital & AI-driven tools for early intervention ✅ Addresses disparities in HF care access & outcomes, overcome inertia! Innovations Driving This Shift 🔹 Remote Monitoring & AI Algorithms Bioimpedance, ballistocardiograph, seismocardiography, phonocardiography, ECG, and other variables to identify congestion before it leads to hospitalization. 🔹Smartphone-based HF detection—improving accessibility & early intervention. 🔹 The “Hospital-at-Home” Model High-acuity care is delivered in the home through a 24/7 command center. Virtual visits + on-demand clinician dispatch to preserve continuity of care. FDA-collaborated remote tech enabling proactive, rather than reactive, HF care. By combining virtual management, predictive analytics, and AI-assisted triage, we can envision a future in which we drastically reduce hospital burden and improve patient outcomes. 🔹 What are your thoughts on the shift toward home-based HF care? 🔹 How can we scale these technologies while preserving health equity? #HeartFailure #DigitalHealth #AIinHealthcare #RemotePatientMonitoring #THT2025
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Sharing our new peer reviewed article: https://lnkd.in/ggtCnExS At Waymark, we have developed and deployed custom AI solutions that provide continuous population health surveillance, proactively monitoring for clinical red flags and clinical optimization opportunities between healthcare encounters when physicians aren't present to identify high risk situations. This augments the ability of our teams to prevent poor patient outcomes between clinic visits, enabling 24/7 detection of concerning health trends before costly emergency department visits or hospitalizations. This work was co authored by Pablo Bermudez-Canete (Stanford / Paratus), Tannen Hall (Stanford / Paratus) & Pranav Rajpurkar (Harvard / a2z), contributing to the development of AI-driven population health monitoring.
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Sometimes, patients don’t feel their atrial fibrillation at all. No racing heart, no shortness of breath—just a quiet irregular rhythm ticking away in the background. But that rhythm can increase their risk of stroke or heart failure dramatically. AI and wearables are changing that. By analyzing heart rate variability and ECG data over time, we can flag these silent patterns and intervene earlier. It’s not flashy, but it’s life-saving— And a glimpse into how medicine is moving from reactive to proactive care. Follow Zain Khalpey, MD, PhD, FACS for more on Ai & Heslthcare. Image reference: https://lnkd.in/g2Yraz-q #AtrialFibrillation #AFib #AIinHealthcare #WearableTech #PreventiveCardiology #DigitalHealth #HeartRhythm #StrokePrevention #SmartECG #MedTech #PatientMonitoring #HealthcareAI #MachineLearning #HeartCare #InnovationInMedicine #ClinicalDecisionSupport #RemotePatientMonitoring #DataDrivenMedicine #HealthcareTechnology #AIforGood
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A healthcare company was struggling with low patient compliance and poor communication between providers and patients—leading to suboptimal outcomes and regulatory concerns. How wearable tech is changing remote care: By integrating wearable devices into their Remote Patient Monitoring (RPM) programs, they enabled continuous, real-time collection of patient data—such as heart rate, blood pressure, and glucose levels—directly from patients’ homes. This data was securely transmitted to healthcare professionals, allowing for timely interventions and personalized care plans. Results: - Improved patient compliance with treatment and monitoring plans through reminders and real-time feedback - Reduced hospital readmissions and in-person visits due to early detection and proactive management - Enhanced patient engagement and satisfaction by empowering individuals to take a more active role in their health Real change happens when technology meets strategy. Would this solution work for your organization? #AIinHealthcare #HealthTech #DigitalHealth
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I love my WHOOP and ŌURA but if you're in healthcare you know there is a train coming when it come to continuous connected care and it will impact all of us. One where providers, with help from AI, can monitor patients 24/7 and give real-time guidance to keep them on track with their care plans. Across specialties, new-generation medical devices are transforming care and it's mind-blowing what they can (and will do): 🩺 Endocrinology: CGMs + pumps like [Dexcom], [Abbott], [Tandem Diabetes Care], [Insulet Corporation] ❤️ Cardiology: Remote BP monitors + wearables like [iRhythm Technologies, Inc.], [Withings], [AliveCor], [Biobeat] 🌬 Pulmonology: Smart inhalers + respiratory monitors like [@Propeller Health], [@Adamm], [NuvoAir Medical] 🧠 Neurology: Seizure and brain activity monitors like [Empatica], [NeuroPace], [RuneLabs] 🦴 Orthopedics: Motion trackers + rehab devices like [ZIBRIO], [@DJO Global], [TracPatch Health, LLC] And AI is making this data actionable — surfacing risks, automating alerts, and helping clinicians intervene before things go off track. I imagine the intersection of consumer and these devices will overlap more and more (given what we have seen with Dexcom and Libre), which will only accelerate this trend and self-management power of these devices.