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HRIDAI: AI POWERED ECG TAGGING AND CLINICAL SUPPORT APP Priya Ranjan, Muthukumar KA, Amaresh Ganesan, Abhishek SR, Deekshith P, Piyush Prakash Wakpaijan Muthukumar K A AMARESH GANESAN Upendra Kaul #cardiacapp A dynamic team of faculty members and students has achieved a remarkable milestone in healthcare innovation with their creation of HRIDAI: AI-Powered ECG Tagging and Clinical Support App. The team, comprising Priya Ranjan, Muthukumar KA, Amaresh Ganesan, Abhishek SR, Deekshith P, and Piyush Prakash Wakpaijan, has collaborated to develop this groundbreaking application that leverages explianable and stable artificial intelligence to revolutionize cardiac care which demands consistent performance to save lives! The Hridai app’s mission is to address the increasing prevalence of heart issues due to unhealthy lifestyles, particularly in India. Factors such as poor dietary habits, lack of physical activity, stress, and insufficient sleep have made heart health a pressing concern for many individuals. It becomes even more acute when we look at extremely limited access to expensive cardiac care which is mostly available in only metropolitan cities. HRIDAI is a computer software solution that uses AI to instantly analyze users’ ECG readings and provides accurate predictions about potential heart conditions. The app also goes a step further by identifying nearby cardiologists, enabling users to seek prompt medical advice. Designed with accessibility in mind, HRIDAI aims to reach even those in rural areas who do not have immediate access to a doctor, ensuring that life-saving technology is available to those who need it the most. Further, it can reduce the cost of cardiac care for the poorest of the poor drastically. On November 27, 2024, the team’s innovative work reached a milestone achievement as it was officially recognized with a Copyright granted by the Registrar of Copyrights, Government of India. This accomplishment marks a significant and official step forward in the intersection of healthcare and technology. This team behind this achievement is a collaborative effort between two faculty members and a researcher from UPES, Dehradun, and three students from SRM, Chennai. We would like to thank Prof. Upendra Kaul from AIIMS, New Delhi and other team members for their blessings! References: [1] Shrivastav, K.D. et al. (2020). Earth Mover’s Distance-Based Automated Geometric Visualization/Classification of Electrocardiogram Signals. In: Sarma, H., Bhuyan, B., Borah, S., Dutta, N. (eds) Trends in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 99. Springer, Singapore. https://lnkd.in/dmjW6dDD [2] L-85273/2019: Awarded : “EMD Based Automated Tool for of ECG Classification,” September, 2019, Jointly developed with R. Janadhanan, K. D. Shrivastava, P. Aram- bam, S. Saeed, U. Kaul and H. Singh

💡 What role can AI play in the hospital? 🏥 🚀 HLTH Europe debuts tomorrow - the major health event in Amsterdam bringing together the entire European health ecosystem to reimagine the health systems of the future! 🌎 🏥🤖 AI-enabled hospitals are on the horizon – and we’re looking forward to these talks exploring the many possibilities of machine learning and digital innovations in the hospital space:; 💬ChatGPT in the hospital: Helping hand or unhelpful hindrance? 📅 June 18, 9:00am 💬Keynote: AI meets hospital  📅 June 18 at 5:20pm 💬And of course, we’ll be there to catch our CEO and co-founder Andreas Cleve participate in an exciting discussion on hospitals of the future - catch it on Aroma Stage 📅 19 June at 9:50am! Ahead of these talks, here’s a few ways smart hospitals will leverage – and already are leveraging – machine learning and digital healthcare innovation to deliver better outcomes for hospital patients and staff; 🌟 Using machine learning to more accurately predict care needs, helping emergency dispatchers to get critical patients through hospital doors faster. Last year, we collaborated on a study that found AI can detect subtle signs of stroke missed by human operators, leading to faster hospitalization. And we’re partnering with EMRS worldwide to help them optimize their diagnostic and treatment decisions with our technology (🔗 1). 🌟 Making life easier for clinicians to access everything they need to know about a patient and their care needs in a single click – instead of navigating multiple systems, technology can help centralize patient data in a single platform. 🌟 AI algorithms are being used to identify patterns in health screenings, supporting human clinicians with a second set of eyes to help detect disease in x-rays, CT scans and other images. By flagging images, AI can help prioritize patients with potential problems and ensure their scans are reviewed faster by healthcare experts. 🌟 AI can help hospitals with smarter scheduling, predicting how long procedures may take and alerting clinicians when follow-up tests and consultations are due. This means less waiting time for patients, less stress for clinicians – and fewer follow-ups falling through the cracks. 🏥 Excited to explore the hospitals of the future in Amsterdam tomorrow? Here’s the full HLTH Europe agenda – let us know if you’re coming! Agenda: https://lnkd.in/dPU55jE8 🔗 1: https://lnkd.in/dVJx5iHZ #hlth #hltheurope #healthcare #healthtech #healthcareinnovation #healthcareAI

Extract-Medical device bias needs immediate action - review Immediate action is needed to tackle the impact of ethnic and other biases in the use of medical devices, an independent review says. It found pulse oximeter devices could be less accurate for people with darker skin tones, making it harder to spot dangerous falls in oxygen levels. And it warned devices using artificial intelligence (AI) could under-estimate skin cancer in people with darker skin. The review said fairer devices needed to be designed urgently. In total, it made 18 recommendations for improvement. The government says it fully accepts the report's conclusions. The review was commissioned in 2022 amid mounting concern that ethnic minorities faced greater Covid risks.. Building on previous research, the review says the devices, which are clipped on to a finger, can overestimate the level of oxygen in the blood for people with darker skin tones. The report says there is evidence from the US to suggest this can sometimes lead to worse health outcomes for black patients. And researchers say the situation is compounded by the devices mostly being tested and calibrated on participants with lighter skin tones… One example is the potential under-diagnosis of skin cancers for people with darker skin. This would probably be a result of machines being 'trained' predominantly on images of lighter skin tones, the team explains. Another concern arises when using AI systems for reading chest x-rays - which are mainly trained on images taken of men, who tend to have larger lung capacities. This could potentially lead to underdiagnosis of heart disease in women, the report suggests, worsening an already long-standing problem. The government says it is committed to removing bias in datasets and increasing training for health professionals… Prof Habib Naqvi, chief executive of the NHS Race and Health Observatory, welcomed the findings, saying access to better health should not be determined by ethnicity nor by the colour of your skin, and medical devices needed to be fit-for-purpose for all communities. He added that the lack of diverse representation in health research and robust equity considerations had "led to racial bias in medical devices, clinical assessments and in other healthcare interventions". Andrew Stephenson, Minister of State in the Department of Health, said the review was important. "Making sure the healthcare system works for everyone, regardless of ethnicity, is paramount to our values as a nation. It supports our wider work to create a fairer and simpler NHS," he said. https://lnkd.in/eJzn7-mz

🌟 Bridging the Healthcare Gap: A Personal Journey 🌟 A friend, her partner nearing 50, carries the weight of his family history plagued by coronary heart disease. In a foreign land with a healthcare system starkly different from the familiarity of India, every heartbeat is accompanied by an underlying fear. Navigating through the labyrinth of procedures and protocols, seeking medical attention feels like traversing uncharted territory. The stakes are high, the uncertainty palpable, especially with the specter of heart disease looming large. She confided in me, expressing a yearning for a solution that could offer respite from the incessant worry. Picture this: monitoring his health parameters seamlessly with IoT patches and receiving predictive, preventive interpretations based on trending data. A lifeline that transcends borders, offering solace and the promise of a restful night’s sleep. 💡 Innovations Shaping Healthcare Today: 1. Diabetic Monitoring Patches: Continuous glucose monitoring systems revolutionize diabetes management, offering real-time insights and alleviating the burden of frequent finger pricks. 2. Stroke Management: Advanced imaging techniques and AI algorithms enable swift diagnosis and personalized treatment plans, optimizing outcomes for stroke patients. 3. Robotic-Assisted Surgery: Precision robotics redefine surgical precision, minimizing invasiveness, and accelerating recovery times, ushering in a new era of surgical excellence. 4. Pregnancy-related Innovations: From prenatal genetic screening to telemedicine consultations, technology empowers expectant mothers with comprehensive care and support throughout their journey. And yet, the horizon holds promise for even more profound transformations… 💡 The Future of Healthcare: AI-Powered Solutions Envision a world where AI-driven developments herald a new dawn in preventive care: ✅ Heart Attack Prevention: AI algorithms meticulously analyze patient data, identifying individuals at heightened risk of heart attacks, guiding preemptive interventions and lifestyle modifications. ✅ Fetal Anomaly Detection: AI-enabled imaging technologies unveil fetal anomalies early in pregnancy, circumventing the need for invasive procedures and assuaging parental apprehensions. ✅ Stroke Prevention: Predictive analytics leverage patient data to assess stroke risk factors and prescribe personalized preventive strategies, safeguarding lives and curbing healthcare expenditures. As the COVID-19 pandemic lays bare the fragility of our healthcare systems globally, the imperative for innovation grows more urgent. By harnessing AI-driven developments, we can alleviate the strain on healthcare resources, empowering caregivers to deliver tailored care where it’s needed most. 📣 Have you ever experienced the profound anxiety of worrying about your loved one’s health? #Healthcare #AI #Innovation #DigitalHealth #PatientCare #PreventiveMedicine #Telemedicine

24-Hour Blood Pressure Variability Via Ambulatory Monitoring and Risk for Probable Dementia in the SPRINT Trial 24-Hour Blood Pressure Variability Via Ambulatory Monitoring and Risk for Probable Dementia in the SPRINT Trial ABSTRACT Blood pressure variability is a risk factor for dementia, even when mean blood pressure levels are rigorously controlled. This study aimed to investigate the effect of ambulatory blood pressure variability on cognitive outcomes under intensive vs standard blood pressure lowering. DESIGN Post hoc analysis of the Systolic Blood Pressure Intervention Trial clinical trial. PARTICIPANTS 793 participants at increased risk for cardiovascular disease without a history of dementia. INTERVENTION Standard (<140 mmHg systolic blood pressure target) vs intensive (<120 mmHg systolic blood pressure target) lowering of mean blood pressure. MEASUREMENTS 24-hour ambulatory blood pressure monitoring and follow-up cognitive testing. Intraindividual blood pressure variability was calculated, and participants were categorized into three clinical outcomes: no cognitive impairment, mild cognitive impairment, probable dementia. RESULTS Higher systolic 24-hour blood pressure variability was associated with increased risk for probable dementia in the standard group but not in the intensive group. Similar findings were observed with daytime systolic blood pressure variability but not nighttime blood pressure variability. Mean blood pressure was not associated with cognitive outcomes. CONCLUSIONS Higher systolic 24-hour and daytime blood pressure variability via ambulatory monitoring is associated with risk for dementia under standard blood pressure treatment. These findings support prior evidence that blood pressure variability remains a risk for dementia despite strict control of mean blood pressure levels. PMID:38706284 | DOI:10.14283/jpad.2024.35 Clinical trials are key to developing safe and effective treatments. It’s important to extend their benefits into everyday medical practice. DocSym, our AI-driven platform, helps by consolidating ICD-11 standards, clinical protocols, and research into a single, easily accessible knowledge base for clinicians. In today’s healthcare environment, streamlining operations is crucial. Our mobile apps support scheduling, monitoring treatments, and telemedicine, making it easier to manage patient care and expand services digitally. By using AI, clinics can enhance their workflows and improve patient outcomes, and reduce paper routine. Learn more about how we can help at aidevmd.com. https://lnkd.in/gj8eYFjC #ClinicalTrials #AIinHealthcare #MedicalAI #HealthTech #DigitalHealth #PatientCareAI #AIResearch #MedicalInnovation #BioTech #AIforGood #HealthcareData #AIinMedicine #PharmaAI #ClinicalData #HealthAI #AIHealthSolutions #PrecisionMedicine #AIandHe...

𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐍𝐞𝐰𝐬: 𝐋𝐚𝐩𝐬𝐢 𝐢𝐬 𝐑𝐞𝐛𝐨𝐨𝐭𝐢𝐧𝐠 𝐓𝐡𝐞 S𝐭𝐞𝐭𝐡𝐨𝐬𝐜𝐨𝐩𝐞 𝐀𝐬 𝐚 𝐇𝐞𝐚𝐥𝐭𝐡 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐊𝐞𝐲 𝐏𝐨𝐢𝐧𝐭𝐬:⁣ ⁣ 𝐅𝐃𝐀 𝐀𝐩𝐩𝐫𝐨𝐯𝐚𝐥: Lapsi Health has secured FDA approval for its digital stethoscope, Keikku, as a Class IIA medical device.⁣ ⁣ 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐂𝐡𝐢𝐥𝐝𝐡𝐨𝐨𝐝 𝐀𝐬𝐭𝐡𝐦𝐚: Originally designed to support childhood asthma detection, Keikku is now intended for broader healthcare applications.⁣ ⁣ 𝐅𝐮𝐭𝐮𝐫𝐞 𝐃𝐞𝐯𝐢𝐜𝐞𝐬: Lapsi plans to expand its product line with devices for monitoring chronic heart and lung conditions and a wearable for pregnant women (Ilo) to track fetal health.⁣ ⁣ 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Keikku offers features like digital sound recording, secure communication, and data streaming, making it a versatile health tracking tool.⁣ ⁣ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Lapsi aims to incorporate AI-based analysis for tasks like heart murmur detection, subject to FDA approval.⁣ ⁣ 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦: The company's hardware platform is designed for extensibility, allowing for future upgrades and additional sensor integration.⁣ ⁣ 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Lapsi uses proprietary algorithms to process and analyze raw data, providing valuable medical insights.⁣ ⁣ 𝐔𝐬𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞: Keikku features a touch-based interface for easy control and a wireless charging design.⁣ ⁣ 𝐌𝐚𝐫𝐤𝐞𝐭 𝐓𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠: Lapsi is targeting healthcare professionals in the U.S. with direct sales and has received significant pre-orders.⁣ ⁣ 𝐅𝐮𝐭𝐮𝐫𝐞 𝐏𝐥𝐚𝐧𝐬: The startup plans to raise additional funding to support product development and expansion.⁣ ⁣ 𝐔𝐧𝐢𝐪𝐮𝐞 𝐒𝐞𝐥𝐥𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭𝐬:⁣ ⁣ 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: Keikku combines traditional stethoscope functionality with modern digital features.⁣ ⁣ 𝐕𝐞𝐫𝐬𝐚𝐭𝐢𝐥𝐢𝐭𝐲: The device can be used for various healthcare applications, including monitoring heart and lung conditions.⁣ ⁣ 𝐀𝐈 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: The potential integration of AI will enhance the device's diagnostic capabilities.⁣ ⁣ 𝐔𝐬𝐞𝐫-𝐅𝐫𝐢𝐞𝐧𝐝𝐥𝐲 𝐃𝐞𝐬𝐢𝐠𝐧: Keikku's touch-based interface and wireless charging make it convenient for healthcare professionals.⁣ ⁣ 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: The device's ability to collect and analyze data can provide valuable information for patient care.⁣ Follow for more update - GenXi - AI Updates #Lapsi #Keikku #Healthcare #technology #innovation #newAIupdates #genxi

The FDA’s Center for Devices and Radiological Health (CDRH) just released a discussion paper on health equity for medical devices. The aim is to ensure that devices work effectively for all patients, regardless of their background. Here are our 5 key takeaways from the paper: 1. 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐇𝐞𝐚𝐥𝐭𝐡 𝐃𝐢𝐬𝐩𝐚𝐫𝐢𝐭𝐢𝐞𝐬 The FDA emphasizes the importance of health equity to reduce disparities in healthcare outcomes across various demographic, socioeconomic, and geographic groups. This aligns with broader government efforts, like Executive Order 13985, to promote equity for historically underserved communities, including racial and ethnic minorities, LGBTQ+ individuals, people with disabilities, and rural populations. 2. 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐞𝐬 𝐟𝐨𝐫 2022-2025 The CDRH has outlined four key strategic priorities to advance health equity: ▪ Availability and Access: Ensuring all populations have timely access to medical technologies. ▪ Empowerment: Helping people make informed healthcare decisions. ▪ Innovation: Supporting the development of new and existing technologies that address health inequities. ▪ Participation: Increasing the inclusion of diverse populations in clinical studies to generate comprehensive data. 3. 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐈𝐧𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 The paper outlines considerations for designing clinical studies that reflect the intended use population: ▪ Disease Burden: Understanding how disease prevalence and severity vary across different groups. ▪ Physiology and Pathophysiology: Evaluating differences in disease mechanisms and outcomes based on anatomical and physiological variations. ▪ Technology: Assessing how the device technology might perform differently across various populations. 4. 𝐅𝐃𝐀’𝐬 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐧𝐠 𝐒𝐚𝐟𝐞𝐭𝐲 𝐚𝐧𝐝 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐧𝐞𝐬𝐬 The FDA seeks to ensure clinical study populations reflect the intended use population. This includes justifying study populations (sponsors must explain their rationale for selecting study populations and how these reflect the broader intended use group) and understanding outcome differences (the FDA evaluates whether data suggest differences in outcomes between populations, which is crucial for assessing a device's safety and effectiveness). 5. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐨𝐟 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 The paper provides hypothetical scenarios to illustrate key considerations: ▪ Example 1: A light-based diagnostic device showed no race-based differences in outcomes despite known impacts of melanin on light absorption. ▪ Example 2: A device intended for a disease prevalent in a specific racial subpopulation had its study population reflect this group entirely. ▪ Example 3: A device for a disease more common in Black populations had a predominantly White study population, introducing uncertainty about outcomes for Black individuals. 📄 Read the full paper. #fda

❗️Elderly care means one of the biggest challenges for modern healthcare systems. #elderlycare #healthcarechallenges 🚀 The world’s older population continues to grow remarkably fast, with people aged 65 years or above projected to rise from 10% in 2022 to 16% in 2050 ❗️The increasing geriatric population (coupled with the decreasing caregiver workforce) puts substantial pressure on healthcare systems globally regarding operational costs and resources. A primary societal goal is to support healthy aging while maintaining older adults’ autonomy and safety at home. 💡The application of digital wearable technologies to assist clinical practice can address these increasing demands by offering convenient, continuous remote medical care to older patients and holds considerable promise to transform geriatric care. 🏥 In particular, wearable digital technologies are expected to provide healthcare professionals with continuous access to the health status of older adults and offer unique opportunities for effective remote care. 👉 At this point I would like to highlight a recent Hungarian initiative: so called “Gondosóra” (remote health monitoring programme for the elderly), The objective supported from EU’s Recovery and Resilience Fund with EUR 229 million is to provide remote health surveillance services for elderly people above the age of 65. The programme is also expected to help the de-institutionalisation of long-term care. 👉 First part of the Programme is the entry into operation of dispatching services, which shall organise telemedicine services and emergency care for the participants among elderly people above 65. This system will allow participants to place a GSM-based personal emergency call to a 24-hour service. The dispatching service staff shall be experienced in emergency care services. 👉 Second part that at least 1.5 million elderly people above 65 shall be equipped with wearable sensory devices. A dedicated service will provide 24-hour surveillance and will be reachable in case of medical emergency. 💡Wearables can support older adults in remotely tracking chronic health conditions or ongoing treatments and monitoring for safety concerns and can do so without disrupting their daily activities. Wearable platforms can generate instantaneous alarms in cases of emergencies, such as stroke, seizure or fall, to allow timely medical interventions. 👉 Such tools are also expected to reduce geographical inequalities by providing older adults living in rural areas with improved access to healthcare services. 💡Coupling with advanced communication and information technologies, wearable sensing technologies may pave the way for a new era of cost-effective remote healthcare services for monitoring older adults in their home settings. #futureproofhealthcare #digitalhealth #modernhealthcare https://lnkd.in/dFwFHs9Y

eMedica - Health in Your Hands: eMedica device is an innovative electronic medical device that uses a unique 3-dimensional non-invasive technology to treat a range of chronic and lifestyle diseases. The device is purportedly designed to modulate the electromagnetic frequency of the human body to its optimal level, which targets the affected area and corrects the cell parameters of the targeted organ. eMedica restores the body's natural balance and heals the underlying cause of the disease, with a 100% natural and safe treatment approach, without any side effects. The eMedica device works by modulating the electromagnetic frequency of the human body to its optimal level. By generating a specific combination of frequency, voltage, and current, it targets the affected area and corrects the cell parameters of the targeted organ in the body. This helps to restore the body's natural balance and heal the underlying cause of the disease. With eMedica, patients can achieve long-lasting relief from their symptoms and improve their overall quality of life. eMedica's, designed to benefit the whole family. Healing eMedica device is a unique family solution that is portable and can be used to address a range of health issues. With 14 distinct programs, the device is tailored to cater to the varying needs of family members. eMedica device is the first of its kind - a healing device that is capable of providing complete family healthcare. It offers a safe, natural, and non-invasive approach to healthcare, making it an excellent alternative to traditional treatments. With this device, families can take control of their health and well-being from the comfort of their own homes. * Improves the Immune System and Blood Circulation * Maintains pH level in Body * Reduces & Controls Cholesterol * Supports to Reduce Heart Blockages * Controls Diabetes * Supports to Reduce Lung Diseases and Fibrosis of Lungs * Treats and Controls Spread of Cancer (Metastasis) * Supports to Fight different Viral Infections * Supports to Control Cough * Supports to Control Cold and Flu * Supports to Control Uric Acid Levels (Gout) * Supports to Detox Liver and Kidney * Support to Control Thyroid * Supports to Control Parkinson's * Supports to Control Alzheimer's * Support to Control PCOD * Support to Treat Paralysis * Heals Tissue Damage or Injury Faster * Prevent Cardiac Arrest * Prevents Cancer * Prevents Kidney Failure Kindly register for guidance, Demo, Purchase of Device and Treatment... https://lnkd.in/dE83Nsxh

Here's a reimagined approach to improving value-based care for #dialysis patients and those with kidney disease, and/or #ESRD focusing on novel concepts, equitable access, and effective resource management Pillar 1: Adaptive Patient-Centered Ecosystem (ACE) 🧠 Neuro-Centric Treatment Algorithms: Develop #AI-driven #algorithms that tailor treatments based on #neurological and #psychological factors, recognizing the significant impact mental health has on #CKD outcomes. These algorithms would dynamically adjust care plans based on ongoing psychological assessments and cognitive function, ensuring mental health is integrated into physical treatment 🌀 Circular Care Teams: Instead of traditional linear care models, introduce circular care teams where each member’s input constantly feeds into the system, allowing for real-time adjustments in patient care. This team-based approach would foster a more holistic, patient-driven care experience Pillar 2: Biometric Resource Allocation (BRA) 💉 Live Biometric Dashboards: Implement wearable technology that provides continuous, real-time data directly from patients to healthcare providers. This data would guide resource allocation, ensuring that high-risk patients receive immediate intervention, while stable patients maintain optimized care without unnecessary resource expenditure 🌐 Develop a cloud-based platform that matches patients with available dialysis slots across different centers in real time, balancing supply and demand dynamically. This system would reduce waiting times and optimize the use of existing dialysis resources across regions. Pillar 3: Equitable Transplant Access (ETA) 🔄 Universal Transplant Inclusion (UTI): Instead of a readiness score, introduce a universal transplant inclusion framework where every patient is automatically considered for transplant. A personalized plan would be developed for each patient, addressing specific barriers such as financial, psychological, or social factors 🌍 Create a country-wide kidney exchange program that leverages global donor pools, particularly focusing on regions with lower transplant demand. This could reduce the strain on high-demand metropolitan areas and provide equitable transplant opportunities worldwide Pillar 4: Dynamic Cost Reintegration (DCR) 🧩 Patient-Driven Savings Reinvestment (PDSR): Create a system where savings from efficient care are reinvested into patient-directed funds, allowing patients to choose how these funds are used—whether for new treatments, mental health support, or lifestyle enhancements. This approach puts the power back into the hands of patients, fostering trust and engagement in their care ⚙️ Introduce modular care plans that patients can customize based on their unique needs and preferences. Each module would be designed to optimize costs and outcomes, offering patients a menu of options that fit within the value-based care framework #ValueBasedCare #EquitableCare Evergreen Nephrology