Healthcare

The Centers for Medicare & Medicaid Services has proposed that Medicare Advantage plan revenues will remain flat going into 2027 at a moment when underlying medical costs, labor expenses, and pharmaceuticals continue to rise materially. What does this mean in practice? For beneficiaries: Over time, beneficiaries should expect less generous benefits, tighter utilization management, and narrower provider networks. Access may become more constrained—not necessarily through explicit benefit cuts, but through fewer participating provider groups and more selective contracting. The tradeoff between affordability and choice will become more acute. For brokers and distribution partners: Distribution costs in Medicare Advantage are largely fixed, particularly commissions and marketing infrastructure. As margins compress, plans will continue to reassess how (and how much) they pay for growth. This may include lower upfront commissions, greater reliance on retention-based compensation, or shifts toward more direct-to-consumer enrollment strategies. For provider groups: Provider organizations seeking rate increases will face a much tougher negotiating environment. With plan revenues constrained, upward pressure on provider rates becomes difficult to absorb. As a result, some provider groups may choose to exit Medicare Advantage entirely, while others will narrow participation to fewer plans. The result may be increased network fragmentation and heightened tension between plans and providers over risk, quality expectations, and total cost of care. For managed care company employees: Cost discipline will extend inward. Plans will be slower to hire, more selective about new investments, and may pursue workforce reductions. Expectations will shift toward higher productivity, flatter organizational structures, and doing more with fewer resources. For Investor-backed Medicare Advantage plans: The economics of growth will change. Longer payback periods, lower internal rates of return, and greater regulatory uncertainty will make Medicare Advantage investments less immediately attractive. Capital will still flow to the sector, but it will be more discriminating, favoring scale, operational excellence, and differentiated capabilities rather than growth at any cost. For small and regional health plans: Scale matters more than ever. Smaller plans will struggle to compete. Many may exit the market or seek partnerships, mergers, or acquisitions. Consolidation pressures are likely to intensify as fixed administrative and compliance costs consume a greater share of revenue. Time will tell whether the rate decisions outlined in the Advance Notice hold through the Final Rule. Regardless of the ultimate number, one thing is clear: Medicare Advantage is entering a period of transition. The era of easy growth is ending, and the next phase will be defined by tradeoffs—between generosity and sustainability, growth and discipline, innovation and affordability.

Hospitals are healing patients faster with 30-year-old Australian technology. Most healthcare facilities still operate in the dark. SolarTube skylights channel natural sunlight through reflective tubes directly into patient rooms and treatment areas. No electricity needed. Just free healing light all day. The healthcare transformation numbers: ↳ Faster patient recovery rates documented ↳ 15% staff productivity increase ↳ Reduced eye strain for medical professionals ↳ Lower patient anxiety during procedures Think about that. Tigoni Medical Center in Kenya installed SolarTubes in their COVID-19 facility. Healthcare workers reported less fatigue, increased alertness during long shifts. Patients showed dramatically improved morale and energy levels. At Rogaska Medical Center, natural daylight flooded clinics without unwanted heat. Staff comfort improved. Patient outcomes followed. Italian dental offices meeting occupational daylight standards found something unexpected: patients felt less anxious. Procedures became more comfortable. Natural light calmed nerves that fluorescent bulbs couldn't. Traditional Healthcare Lighting: ↳ Fluorescent tubes causing eye strain ↳ High electricity costs ↳ Artificial environments ↳ Staff fatigue increases SolarTube Healthcare Reality: ↳ Natural light reduces stress hormones ↳ Serotonin production increases ↳ Circadian rhythms regulate properly ↳ Recovery accelerates naturally But here's what stopped me cold: We're medicating depression while keeping people in artificial light. Jim Rillie invented this solution in the 1980s. Launched Solatube International in 1991. Now 2 million units worldwide bring natural light indoors. Healthcare facilities that adopt it see measurable improvements. Staff wellness increases. Patient satisfaction scores rise. Recovery times shorten. The Multiplication Effect: 1 hospital = hundreds healing faster 100 facilities = thousands of staff energised 1,000 installations = healthcare transformed At scale = medicine working with nature VCC in the UK experienced enhanced well-being building-wide. Staff and patients reported feeling calmer, healthier, happier. Simply from abundant daylight. We're not just installing skylights. We're installing wellness. One beam of natural light at a time. Follow me, Dr. Martha Boeckenfeld for innovations that heal environments and people. ♻️ Share if you believe healthcare should harness nature's healing power.

Polling vs Webhooks As systems grow more complex, choosing the right update strategy becomes crucial. Let me break down the two primary approaches that define real-time data synchronization: Polling: The Traditional Approach • Client periodically requests updates • Predictable but resource-intensive • Full control over request timing • Higher latency, higher costs at scale Webhooks: The Modern Push System • Server notifies client of changes • Event-driven and efficient • Near real-time updates • Better resource utilization Concrete Implementation Examples: Polling Works Best For: 1. Payment status checks 2. Order tracking systems 3. Basic monitoring tools 4. MVP implementations 5. Systems with predictable update patterns Webhooks Excel In: 1. Payment processing (PayPal) 2. Repository events (GitHub) 3. CRM integrations (Salesforce) 4. E-commerce inventory updates 5. Real-time messaging systems Key Decision Factors: - Update frequency requirements - Infrastructure complexity tolerance - Development team expertise - System scalability needs - Budget constraints Currently implementing these in production? Both approaches have their place. The key is matching the solution to your specific requirements rather than following trends.

Insurance Fraud For over last 15 years, I have been highlighting two aspects of Insurance Fraud 1. Fraudulent activities are getting more organized year on year 2. Next decade or so will see more fraud in Critical Illness and Personal Accident/ disability The case below is a live example of both: The appended ECG surfaced as evidence of heart attack in a critical illness claim of first heart attack - in 3 different claims. This ECG was, allegedly, taken in 3 different hospitals on 3 different patients in 3 different districts of two states. Why is it the same ECG? One may counter the allegation that 2 different persons can have the same ECG. Answer to this: - The flat line in V5 (highlighted with a box) is an artifact due to machine error and accepting that 3 different machines will have same artifact is ignoring the fraud (known as leakage in an organization) - Two independent, senior cardiologists have opined that these three ECGs belong to the same person. An ECG is akin to one's finger prints - no two persons can have EXACT same ECGs. Fortunately (unfortunately for the fraudsters) these attempts were made on the same insurer, hence were identified. In our 20 year+ journey in risk management, we have come across same ECG and same TMT being used for different proposals at policy inception stage but 3 cases, 3 districts, 3 hospitals - is first even for us. Insurers have to be more vigilant for critical illness and personal accident claims. Sanjiv Dwivedi Bhaskar Nerurkar Sweetie Salve Rajat Goyal Namrata Jain (Kumar) Manish Dodeja Priya Deshmukh-Gilbile Siddhartha Kansal Dr Sushma Jaiswal Dr Satish Kanojia Imtiaz Shaikh Preeti Desai Vishal Dubhashi #insurancefraud #organisedfraud #criticalillness #fraud management

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

𝗛𝗲𝗮𝗹𝘁𝗵𝗶𝗲𝗿 𝗖𝗶𝘁𝗶𝗲𝘀 𝗮𝗻𝗱 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗣𝘂𝗯𝗹𝗶𝗰 𝗦𝗽𝗮𝗰𝗲𝘀 A guidance paper by UN-Habitat (United Nations Human Settlements Programme) Key messages: 🌳 Green and open public spaces are essential for urban health and well-being. They encourage physical activity, mental wellness, social interactions, and community engagement while reducing air pollution and enhancing quality of life. 💰 Investing in public spaces, especially urban parks, brings economic benefits by lowering healthcare costs. Healthier lifestyles, reduced stress, and better air quality lead to financial savings and economic resilience. Well-integrated public spaces also help address spatial and health inequalities. ⚖️ Equitable access to public spaces ensures all residents, regardless of socioeconomic status, can enjoy recreational and green areas, which are crucial for physical and mental health. 🤝 Public spaces foster social cohesion by providing opportunities for social interactions, cultural events, and community activities. This strengthens social bonds, reduces isolation, and improves mental well-being. 🛝 Inclusive and multi-functional design is key. Spaces that cater to different age groups and activities—such as playgrounds, outdoor gyms, and relaxation areas—support active, healthy lifestyles and diverse community needs. [Link in the comments]

This is my face finishing the last pieces of my documentation after my #ER shift. It's a face of frustration after spending way too much time documenting in a less-than-intuitive, inefficient EMR. It's the face of frustration from endless clicks, digital pop-up blockades, and seek-and-find missions for clicking the correct checkbox in an electronic health record to simply discharge a patient. The ultimate price of this inefficiency: compromised patient care, delays, errors, skyrocketing stress for healthcare professionals, and an overall decline in the system's effectiveness. It's time to streamline our processes for the sake of our clinicians and, most importantly, our patients. The problem: EMRs were made as billing platforms with patient care and clinical workflows as secondary considerations. The solution: 1. Put frontline clinicians back in the boardroom to fix these inefficiencies. 2. Reduce and eliminate unnecessary administrative tasks. 3. Utilize trainers to perform frequent check-ins with clinicians to ensure clinicians use the best and most efficient documentation methods. 4. Leverage new technologies (like AI, dictation software, ambient listening software) to reduce screen and keyboard time for clinicians. 5. Create standardized workflows for documentation. The more ways to do the same thing, the more challenging it is to teach and build efficiencies across a team. 6. EMR companies should use practicing, specialty-specific clinicians to guide design decisions. #HealthcareSystem #ClinicianBurnout #TimeForChange Cerner Corporation Epic MEDITECH #EMR ABIG Health #frontlineclinicians #nurses #physicians #hospitals

This startup is giving 900 million rural Indians access to AI healthcare - without needing a smartphone, internet, or even English. India just got its first real-time voice AI for healthcare called Bharosa AI, and it could revolutionize how rural Indians access medical care. Here’s what Bharosa AI does: ▶ Voice-first healthcare access Their AI assistant "Mira" works over regular phone calls, without internet. Patients describe symptoms in their local dialect, and Mira qualifies them, routes to appropriate doctors, and generates structured summaries. ▶ Multilingual and context-aware Speaking 100+ languages and dialects, it understands regional health terminology and cultural context that most AI tools miss completely. This changes India’s healthcare scene, because it: ▶ Bridges the digital divide 65% of India's 1.4B population lives in villages where smartphone penetration is low. A phone call removes the biggest barrier to AI-powered healthcare. ▶ Solves the trust gap Poor doctor-patient communication leads to misdiagnosis and treatment delays. Mira ensures nothing gets lost in translation — literally. The tool is awesome. And the story behind it is inspiring. Vandit Jain built this after watching his wife suffer during pregnancy due to communication barriers with doctors. Along with Dr. Amit Gupta and ML researcher Nidhi Bharani, they launched Bharosa AI in 2023 to solve this exact problem. They're already piloting with 300+ clinics, with hospitals paying $5K-10K per site. They’ll definitely face challenges with data privacy, clinical accuracy, and competition from established players like Practo. But if voice-first AI proves successful, it could become as common as teleconsultations. Sometimes the most powerful innovations aren't the most sophisticated, they're the most accessible. What do you think? Will voice AI reshape healthcare access in rural India? #entrepreneurship #healthtech #innovation

Most healthcare AI doesn't stall because models underperform. It stalls because infrastructure is fragmented. We are no longer constrained by algorithmic creativity. We are constrained by data silos, privacy governance, interoperability gaps, compute access, and the operational friction of translating retrospective research into prospective clinical impact. This brief examines this structural bottleneck through the Mayo Clinic Platform. The authors focus on something foundational: building an AI-ready ecosystem designed to accelerate real-world clinical research at scale. The platform provides a secure, cloud-based research environment built on de-identified, standardized EHR data from more than 15 million patients. Key capabilities include: ⭐ OMOP-aligned data models for interoperability ⭐ Structured and unstructured data ⭐ Cohort-building and schema exploration tools ⭐ Integrated workspaces with scalable CPU/GPU infrastructure ⭐ Both no-code and advanced coding environments Unlike traditional institutional repositories, Mayo Clinic Platform enables access for external researchers, supports federated multi-institutional data contributions, and embeds analytics within a privacy-preserving architecture. The paper highlights four applied studies conducted within MCP: 1️⃣ RCT emulation for heart failure drug efficacy using observational data 2️⃣ Validation of antihypertensive medications and reduced dementia risk 3️⃣ Deep learning prediction of mild cognitive impairment progression to Alzheimer’s disease 4️⃣ Neural network prediction of major adverse cardiovascular events after liver transplantation Extracting a cohort of ~15,000 patients took approximately one week. Training and running a deep learning model required roughly 10 minutes on moderate compute resources. When infrastructure friction is minimized, research velocity changes materially. Competitive advantage in healthcare AI is increasingly defined by: 💫 Data harmonization at scale 💫 Federated, privacy-preserving architectures 💫 Reproducible research pipelines 💫 Integrated compute environments 💫 Lower barriers for clinician engagement The authors also point toward multimodal expansion (notes, imaging, genomics), large-scale cross-institutional validation, and “Clinical Trials Beyond Walls” models that broaden participation and diversify real-world evidence. For those shaping AI strategy in health systems, pharma, or digital health, this paper offers a concrete example of production-grade, AI-ready infrastructure. The future of healthcare AI will not be won by isolated models. It will be won by platforms that integrate data, governance, compute, and workflow into a coherent operating system for translational impact. John Halamka, M.D., M.S. and team, great work! #HealthcareAI #HealthSystems #RealWorldEvidence #ClinicalResearch #DigitalHealth #TranslationalMedicine #PrecisionMedicine #HealthData #AIInfrastructure #MedicalInnovation

Dr. S M Ziaur Rahman, a medical professional, has made a commendable transition from a high-paying position in Delhi to establish a vital healthcare center in rural Bihar. His initiative directly addresses a critical gap in rural medical infrastructure, exemplified by his nominal charge of just ₹250 per patient visit. This significantly contrasts with typical urban healthcare costs, ensuring that financial barriers do not prevent individuals from receiving necessary medical attention. Dr. Rahman’s decision was deeply influenced by a poignant experience: witnessing the plight of a patient from Bihar who had to travel to Delhi for treatment due to the severe lack of adequate facilities in their native region. This encounter underscored the urgent need for local, high-quality medical services. By establishing this center, Dr. Rahman is not only providing essential care but also significantly contributing to the improvement of public health outcomes and fostering hope among countless underprivileged individuals in rural Bihar. His exemplary action highlights the transformative potential of dedicated medical professionals addressing critical healthcare disparities in underserved regions. LinkedIn LinkedIn News LinkedIn for Learning