National Association of ACOs’ Post

Here is one more clip from my podcast recording with Ankur Patel. What opportunities are you most excited about as digital experiences and AI are applied in the healthcare domain? Post your thoughts 👇

The White House drives AI innovation in healthcare. With an emphasis on responsible and safe AI usage, this initiative aligns with the 'FAVES' principles - ensuring Fair, Appropriate, Valid, Effective, and Safe healthcare outcomes. Key message: This collaborative effort between the government and leading healthcare organizations is set to enhance health equity, tackle clinician burnout, and streamline drug development. Healthcare AI News https://lnkd.in/dbnhab6J #AIHealthcare #WhiteHouseInitiative #HealthTechInnovation

The Biden-Harris Administration continues to drive transformative change by prioritizing responsible #AI in healthcare, with leading providers and payers voluntarily committing to the "FAVES" principles, ensuring that AI in healthcare is Fair, Appropriate, Valid, Effective, and Safe. The potential impact of AI on healthcare continues to show immense promise. From accelerating medical image analysis to streamlining drug development and alleviating clinician burnout, it offers solutions that can revolutionize many long-standing practices in patient care. As we enter the new year, I'm optimistic and eager to see what the future holds as we continue to push boundaries to positively impact healthcare outcomes and the lives of patients and professionals. #Innovation #HealthTech #FutureOfHealthcare https://lnkd.in/gKbWa-qf

It is time for a continuous, real-time system of care in the healthcare industry. Traditional healthcare relies on episodic appointments. AI enables a continuous system where patients can constantly input: → Symptoms → Feelings → At-home monitoring results This allows for real-time alerts to healthcare professionals when intervention is needed. Providers can monitor results over time and quickly determine when something is off. This enables immediate interventions through calls or appointments when necessary. Jayodita Sanghvi, Senior Director of Data Science at Included Health, shared the possibilities that will stem from this on this week’s episode of Pioneers. (Check out the full episode at https://lnkd.in/eG9GFyEf) AI is flipping healthcare’s cold, impersonalized feel to an omnipresent provider that enables: → Patients to feel constantly supported and monitored → Timely interventions to prevent complications → Improved patient outcomes and satisfaction → Early detection of potential health issues By leveraging real-time data and analytics, AI is making healthcare more: → Proactive → Responsive → Personalized — What benefits do you see in moving from episodic to continuous healthcare? Do you have concerns about having a healthcare system that continuously monitors your health?

One of the most compelling aspects of 2023 has been ongoing discussion pertaining to the safety and security of healthcare AI solutions. We applaud the Biden-Harris Administration for bringing such diverse, visionary and practical perspectives to this ongoing discussion. We look forward to hearing the impact these 28 providers and payers will have in shaping the future of AI, including Aidoc partners Emory Healthcare Tufts Medicine UC San Diego Health UC Davis Health WellSpan Health

Exciting developments in AI for healthcare! Leading providers and payers have committed to the safe and trustworthy use of AI, aligning around the "FAVES" principles—ensuring Fair, Appropriate, Valid, Effective, and Safe outcomes. A step in the right direction towards better health for all. AI's potential in healthcare is like a double-edged sword—while it offers groundbreaking advancements, risks like biases and privacy concerns must be carefully managed. Stay informed to harness AI's benefits responsibly! Imagine a world where AI accelerates medical image analysis, expedites drug development, and eases clinician burdens. This technology has the power to revolutionize healthcare, improving patient care and cutting costs significantly. Collaboration is key! The Biden-Harris Administration's engagement with stakeholders underscores the importance of understanding AI's impact on healthcare. Together, we can navigate the evolving landscape of AI in the medical sector. Dive into the details of how AI is reshaping the future of healthcare in the recent White House article. Let's stay informed and engaged to drive positive change in healthcare outcomes! https://lnkd.in/daMSHPu8

Value-Based Healthcare represents a paradigm shift in healthcare delivery, focusing on aligning incentives with patient health outcomes rather than the volume of services rendered. This approach is supported by studies highlighting the dual benefits of cost reduction and improved patient outcomes. Accountable care organizations (ACOs), for instance, have demonstrated substantial advancements in both realms, achieving noteworthy cost savings while concurrently enhancing the quality of care provided. By emphasizing prevention, chronic disease management, and coordinated care, value-based models not only optimize healthcare spending but also foster a proactive approach to patient health, thereby paving the way for a more sustainable and effective healthcare system. Interested in exploring Value-Based Healthcare? See how Actu-Real can help: https://lnkd.in/g3EAYbkF   Follow Actu-Real for more insightful posts on #healthcare, AI, machine learning, health economics, outcomes research, and real-world data. #ActuReal #Healthcare #ValueBasedCare #ValueBasedHealthcare #VBH

Curious to see the unfolding of the next phases and anticipated outcomes of the healthcare industry's commitment to responsible AI, with 28 payers and providers endorsing the initiative. #aicompliance #aiadoption #healthcarecompliance

🌟 Exciting Collaboration Announcement! 🌟 The Iowa Clinic has signed a multi-year agreement with Counterpart Health to bring cutting-edge AI technology to hundreds of healthcare providers across the Midwest! 🚀 Through this partnership, they will deploy Counterpart Assistant, an AI-powered platform designed to support earlier diagnosis and better management of chronic diseases, directly improving outcomes for Medicare Advantage and Medicare Shared Savings Program patients. Key Highlights: 🔹 Pioneering AI Integration: Counterpart Assistant leverages real-time insights from over 100 data sources and uses advanced machine learning models to enhance physician workflows. 🔹 Impactful Results: Clover Health, Counterpart's parent company, has demonstrated significant reductions in medical costs through this technology, showcasing its potential to transform value-based care. 🔹 Broader Midwest Expansion: This agreement positions The Iowa Clinic as a key partner in Counterpart's strategic growth across the region. This collaboration underscores the power of AI in driving healthcare innovation and improving patient outcomes. Kudos to The Iowa Clinic and Counterpart Health for leading the way in advancing value-based care! 👏✨ #HealthcareInnovation #AIinHealthcare #ChronicDiseaseManagement #ValueBasedCare #PatientCareExcellence #TheIowaClinic #CounterpartHealth #HealthcareLeadership #MedicareAdvantage

Conquering Misdiagnosis: Misdiagnosis is a pressing global issue, affecting millions annually. The World Health Organization (WHO) states that diagnostic errors impact an estimated 10% of patients worldwide each year, leading to unnecessary treatments, prolonged illness, and preventable deaths, significantly burdening healthcare systems. The Reality of Misdiagnosis Misdiagnosis arises due to Complex Symptoms: Overlapping symptoms make accurate diagnosis challenging. Human Error: Fatigue, cognitive biases, and limited time contribute to mistakes. Fragmented Information: Incomplete patient data and poor integration help with accuracy. Training Variability: Differences in provider training lead to inconsistent diagnoses. Transforming Healthcare with Precision Entropy Technologies leverages AI to address misdiagnosis, empowering healthcare professionals with advanced tools and insights for accurate and timely health recommendations. Comprehensive Data Integration: Combining blood test results, lifestyle information, and medical records, Entropy creates a holistic view of each patient's health, ensuring no critical detail is missed. Precision Health Recommendations: Entropy utilises a vast medical knowledge database and machine learning to deliver precise, personalised health recommendations. The AI continuously learns and adapts to refine its suggestions to suit each patient. Supporting Healthcare Professionals: Entropy complements and enhances practitioners' capabilities, offering detailed, evidence-based recommendations to aid swift and accurate decision-making. Continuous Learning and Adaptation: The AI system evolves by integrating new data and research, ensuring practitioners access the most current information and improving diagnostic accuracy and patient outcomes. Cost-Effective Solutions: Offering a low-cost solution, Entropy makes advanced diagnostic support accessible, reducing unnecessary procedures and lowering overall healthcare costs. The Power of Practitioner Expertise Entropy shines in synergy with experienced professionals. Practitioners bring contextual interpretation, personalised guidance, and patient engagement, ensuring AI-driven insights translate into improved patient care. Guiding the Patient Journey By leveraging Entropy, practitioners can: Provide faster, more accurate health recommendations. Reduce the trial-and-error period in treatment plans. Enhance patient satisfaction through personalised, actionable health strategies. Conclusion Misdiagnosis impacts patients and healthcare systems globally. Entropy Technologies combines advanced AI with professional expertise to reduce errors and improve patient outcomes, representing the future of personalised healthcare. Entropy leads the charge in transforming healthcare by empowering practitioners to deliver precise, effective, and compassionate care. #AIinHealthcare #Misdiagnosis # #PersonalizedMedicine #DigitalHealth #MedicalAI #FutureOfHealthcare