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AI can significantly transform risk adjustment within value-based care because of its ability to scan, analyze and synthesize massive amounts of data into clinical insights that can improve patient care. https://ow.ly/3cjv50R5UGY

🚀 Heading into the J.P. Morgan healthcare conference next week, we're bracing for a wave of buzzwords and jargon about how GenerativeAI is set to revolutionize healthcare. The real game-changer? Getting these innovative tools swiftly into the hands of providers and care teams to unleash their full potential. That's exactly what our new partnership with Brigham & Atropos Health is all about. We're on a mission to place powerful AI tools directly into the hands of those who need them most – enabling clinicians and researchers to quickly connect patients with the right treatments. This isn't just about technology; it's about transforming patient outcomes by providing timely access to the most relevant evidence. At Arcadia, we've always believed that a solid data foundation and seamless workflow integration are crucial for harnessing the true power of #GenAI. We're thrilled to announce this partnership with Atropos Health, which marks a significant step towards this vision. Together, we're not just talking about potential – we're making it a reality. Better patient care starts here. We're excited to share more and connect with you JPM. Let's shape the future of healthcare, together. #ArcadiaHealth #AtroposHealth #GenerativeAI #HealthcareInnovation #JPM2024 #ValueBasedCare Big thanks to Kris Karson, Cecily Harris, Rick Olin, Lauren Draina and Brendan Smith-Elion for the help getting us to this point!

Sharing his innovative strategies for patients and physicians navigating the #clinicaltrial landscape, our CEO Michel van Harten has been featured in The Clinical Trial Vanguard. 📣 https://lnkd.in/eTCWKwst 📣 📰 In this executive interview, Michel talks about how myTomorrows has truly made a difference in the healthcare sector by focusing on demystifying the clinical trial process for patients as well as building the tools needed for physicians to connect their patients with clinical trials. Helping connect relevant parties across the whole process from patient to trial site. "The Trial Search AI tool we’ve developed allows physicians to input specific patient medical profiles and quickly identify potential trial matches. This streamlined approach saves time and opens up more opportunities for patients to access trials that may be most beneficial for them." #PatientEngagement #HealthcareInnovation #DigitalHealth #AIinHealthcare

Understanding the specific AR-DRG category a patient falls into can help healthcare providers tailor care plans to meet the individual needs and preferences of each patient. AR-DRGs facilitate the development of clinical pathways or care protocols for specific patient groups. These pathways can improve the consistency and quality of care once incorporated within CPOE and medication management processes. Researchers can use AR-DRG data to study patient populations with specific conditions or procedures. This data can be valuable for clinical research, epidemiological studies, and evaluating the effectiveness of treatments and interventions. Thinking about connecting AR-DRG data with AI and Machine learning algorithms that can analyze historical AR-DRG data, patient records, and other relevant factors to predict which patients are at higher risk of complications, readmissions, or longer hospital stays DRG system created to control care costs as well, or standardize reimbursement rates. I am thrilled to announce that I have completed AR-DRG course by Nano Health Suite.

AI can significantly transform risk adjustment within value-based care because of its ability to scan, analyze and synthesize massive amounts of data into clinical insights that can improve patient care. https://ow.ly/KNS650R5FM7

Thrilled to share insights on a transformative shift in healthcare! The Centers for Medicare and Medicaid Services (CMS) has set a bold goal: moving all traditional Medicare beneficiaries to Value-Based Care (VBC) by 2030. This marks a significant leap from the 7% participation in 2021 noted by Bain research. The shift to VBC necessitates the efficient management of extensive clinical data to ensure patient risk and care quality are meticulously overseen.In an enlightening conversation with Jay Ackerman, President and CEO of Reveleer, we delved into the role of artificial intelligence (AI) in revolutionizing risk adjustment within VBC. Ackerman highlighted AI's capability to process and interpret vast amounts of data, transforming risk adjustment from a retrospective audit tool into a proactive mechanism that enhances patient care.AI's ability to synthesize quality and risk adjustment data provides healthcare providers with a comprehensive view, enabling more informed decisions and earlier interventions. This technology is not only about improving operational efficiencies but also about empowering patients to take an active role in their healthcare journeys.As the healthcare industry embarks on this journey towards a more data-driven and patient-centric approach, the potential for AI to support these objectives is immense. Engaging with AI tools allows providers to tailor care to individual patient needs and preferences, fostering a stronger patient-provider relationship and leading to better health outcomes.Let's embrace this shift towards value-based care, leveraging AI's potential to make healthcare more personalized, proactive, and patient-focused. #HealthcareInnovation #ValueBasedCare #ArtificialIntelligence #PatientCare

AI is a game-changer for value-based care! Experts highlight its power in transforming risk adjustment and enhancing patient engagement, paving the way for improved care outcomes. Let's harness #AI to redefine #healthcare. #ValueBasedCare #HealthTech https://lnkd.in/eGrxcQJ5

Healthcare Innovations: US Companies Harness Google Cloud 's Generative AI Tools to Revolutionize Clinical Efficiency and Patient Care, such as HCA Healthcare , Hackensack Meridian Health (HMH) and Huma Therapeutics. https://lnkd.in/exGHiWrn Make sure to follow the Practical Patient Care page and remember to subscribe for our weekly newsletter to stay updated on #diagnostics , #woundcare, #infectionprevention , and #criticalcare  topics. #followus

Revolutionizing Clinical Trials: 5 Tech Trends Boosting Patient Health #artificialintelligenceinclinicaltrials #blockchaininclinicaltrials #clinicaltrialtechnologytrends #decentralizedclinicaltrials #patientengagementplatforms #wearabletechnologiesinclinicaltrials

AI can help providers get better outcomes in value-based care models - Healthcare IT news Summary: #AIinValueBasedCare - Artificial intelligence (AI) has the potential to improve outcomes in value-based care models by analyzing data more efficiently and accurately. #ImprovingPatientOutcomes - AI can help providers identify high-risk patients and tailor interventions to improve their health outcomes. #ReducingCosts - By streamlining processes and reducing unnecessary tests and procedures, AI can help lower costs for healthcare providers in value-based care models. #EnhancingCareCoordination - AI tools can facilitate better communication and collaboration among healthcare teams, leading to more coordinated care for patients. #ChallengesandConsiderations - Despite the benefits of AI in value-based care, providers must address challenges such as data privacy and security concerns, as well as ensuring the technology ai.mediformatica.com #health #risk #data #providers #clinical #healthcare #clinicaldata #better #outcomes #bill #healthplans #medicare #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3TFh2nX)