John Deely’s Post

Take a look at how three healthcare organizations are using our #generativeAI. #GoogleCloudNext

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

Healthcare IT News interviewed Navina CEO, Ronen Lavi. Three trends: 1️⃣ meaningful use of #ai 2️⃣ #explainableai that augments clinicians 3️⃣ acceleration of tech-enabled #valuebasedcare strategies

Lots of medical group and practice leaders reply that they aren’t yet heavily relying on AI in operating their practices. But how many of them are using technology that heavily relies on AI in the background? And do they understand how AI is being integrated so that they can make the best choices for their practices and patients. Epic has 60 AI projects in development right now. Enlightening reporting from Laura (Miller) Dyrda, Becker's Healthcare.

🚀 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

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

Interesting read from Google on how #generativeai is being aplied in Healthcare. - Improving the clinical trial processes - Improving documentation and workflow for clinicians - Making it easier to search and summarize electronic health records #ai #aiapplications #healthcaretechnology https://lnkd.in/gHH8_a9b

I had a fantastic time discussing the role of AI in healthcare with Demetrios Brinkmann and the MLOps Community. We covered a range of important and consequential topics, including: - Tackling healthcare disparities in underserved communities (because everyone deserves to live a healthy life!). - How Zeteo Health is working to increase patient engagement by providing culturally tailored and trusted health information. - The real value of chatbots in healthcare. - Generative vs intent-based chatbots...or...maybe both. - Confronting data challenges in healthcare solutions. - Why product and tech are equal partners—engineers have brilliant ideas too! - The shocking cost of 100,000 preventable deaths—$100 billion due to medication nonadherence! - Evaluating and monitoring RAG chatbots. - Perfecting the tone of voice and crafting conversation flows to increase patient engagement. - Detecting hallucination and bias. https://lnkd.in/gqnBFt6v https://lnkd.in/gAmADUXF

Are you interested in learning how #AI can transform the #healthcare industry? Eric Landry joins Demetrios Brinkmann on the MLOps Community podcast to share his journey and how Zeteo Health applies #AI to help people across diverse communities.