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And so, AI begins the remaking of the healthcare landscape. Frightening and exciting at the same time!

My latest article published in MedTech Intelligence explores key lessons we've learned at Navina about how AI can help improve the lives of both primary care physicians and their patients. I explain some of the surprising challenges of turning chaotic patient data into actionable patient insights - and how we solve them - and why clinicians favor transparent AI solutions that act as trustworthy assistants over so-called "black boxes." #responsibleai #primarycare #clinicaldata You can read the full article here: https://lnkd.in/d4d79GyM

🚀 Exciting Developments Ahead in Healthcare AI & ML! 🌟 As we dive into 2024, healthcare is embracing the 'new normal' with the integration of Artificial Intelligence & Machine Learning. 💡 Ronen Lavi, CEO of Navina, shares insights on the trends shaping this transformative journey: 🔹 Meaningful Use of AI: With AI becoming mainstream, regulators are incentivizing its use to enhance patient care, safety, and quality. Expect a surge in AI-powered systems aiding clinicians in data summarization and insights. 🔹 Explainable AI Takes the Lead: In a bid for responsible AI, 2024 heralds the rise of explainable AI. Clinicians prioritize transparency and understanding in AI-driven insights, ensuring human interaction remains central in healthcare. 🔹 Tech-Enabled, Advanced Payment Models: Rising costs prompt accelerated adoption of value-based care. Health plans and providers pivot towards innovative payment models, leveraging technology to streamline workflows and support clinical staff. The journey towards a tech-driven healthcare landscape is only beginning. Read Full Article: https://lnkd.in/etquc4KM Let's embrace the opportunities and advancements ahead! 💪 #HealthcareInnovation #AIinHealthcare #TechTrends2024

Healthcare delivery is evolving with the help of AI tools. By automating or augmenting tasks, clinicians and staff members can focus on providing more effective and compassionate care to patients. This not only improves patient outcomes but also enhances the overall healthcare experience. Learn more about the impact of AI on healthcare delivery here: https://lnkd.in/gCybcbxF #HealthcareDelivery

🚀 Unlocking Healthcare's Future with AI in 2024! 🌐 🌟 Meaningful Use Acceleration: Regulators incentivize AI integration for enhanced patient care. 🔍 Explainable AI Prevails: Transparency and responsible AI lead to clinician adoption. 💡 Tech-Enabled Payment Models: Rising costs drive adoption of value-based care with advanced tech. Embrace the 'New Normal'—2024, a year of healthcare transformation! 💪🏥 #AIHealthcare #Innovation2024 #HealthTechFuture

With consumers both optimistic and wary of AI accuracy in healthcare, building trust is crucial. What should healthcare organizations do? Engage clinicians, ensure transparency, and partner with trusted community groups. Learn ways to bridge the trust gap and unlock AI's full potential here: https://ow.ly/jcKF50StWeP

AI Meets RCM: How LLMs are Revolutionizing Healthcare's Bottom Line 🚀💰🏥

This morning’s very special edition of Digital Health Wire gave us the chance to introduce the world to K Health’s new AI Knowledge Agent, a first-of-its-kind GenAI system purpose-built for the clinical setting. The AI Knowledge Agent looks and feels like a familiar medical chatbot, until you look under the hood and realize that LLMs have entered a new stage of clinical utility. Three major differentiators separate the AI Knowledge Agent from today’s standard AI apps: >It incorporates the patient’s medical history grounded by their EHR to provide highly tailored responses (a diabetic and a heart failure patient will see different answers to the same question, using their own history, potential adverse drug interactions, etc.). >It will be embedded into health systems to serve as a digital front door that intelligently routes patients to the right place to resolve their needs (reaches everything from primary care and specialists to labs and tests within the same interface). >It’s optimized for accuracy by using curated health sources, then leverages multiple specialized agents to verify the answer matches the sources and the EHR data is appropriate. Hats off to Allon Bloch Ran Shaul Ethan Fischer and the rest of the team, and make sure to check out our exclusive story for all the details ⚡ https://lnkd.in/gSG6Nqkj

I particularly support the idea of focusing on "meaningful use" and "explainable AI." Ensuring that AI systems are transparent and understandable for clinicians is essential for safe and effective integration into healthcare workflows. This approach not only enhances patient care but also builds trust among healthcare providers. https://lnkd.in/e-n_gMmq