K Health’s Post

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

🚀 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

48% of CEOs have pointed to #ArtificialIntelligence as having the greatest impact on healthcare, during a recent Yale University School of Medicine CEO Summit Survey. And they’re right! #AI is revolutionizing the healthcare industry, expanding the concept of personal care. Breakthroughs in Generative AI have made this technology increasingly accessible to healthcare providers. But as AI becomes ingrained in the industry, it’s crucial to address key legal considerations to ensure its responsible and ethical use. Regulatory frameworks are essential to monitor and limit AI’s use. The American Medical Association is collaborating with regulatory bodies to mitigate medical misinformation generated by GenAI chatbots. Additionally, government agencies like the U.S. Department of Health and Human Services (HHS) and the Centers for Medicare & Medicaid Services have issued AI Playbooks to guide the industry. As the impact of AI on healthcare grows, it’s important to stay informed about legal considerations and actively participate in shaping a responsible and trustworthy AI-powered future for healthcare. Let’s seize this opportunity to harness AI’s potential while prioritizing patient safety and privacy. Together, we can navigate the evolving landscape of AI in healthcare and ensure its positive impact on the lives of millions. If you are keen to learn more about key legal considerations, have a read on this article on The National Law Review:

AI is taking the world by storm. Regarding healthcare, AI can help streamline processes and offboard tasks that take doctors away from spending time with their patients. https://bit.ly/3Fgfz0o

Update on how 3 major healthcare organizations are tapping into Med-PaLM 2, Google’s HIPPA-compliant AI LLM that is fine-tuned for health. The use cases are centered around clinical trial processes and clinician workflow. https://lnkd.in/eRtKKrNv

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

Healthcare Facts - Importance of accuracy in Healthcare Documentation ! Accuracy can be a concern in healthcare documentation through generative AI due to the potential for the model to generate content that may not precisely reflect the nuanced and complex nature of medical information. Misinterpretations or inaccuracies in generated text could lead to errors in patient records, misdiagnoses, or incorrect treatment plans, emphasizing the need for thorough validation and supervision of AI-generated healthcare documentation to ensure reliability and precision. #generativeai #generativemodels #generativeartificialintelligence #healthcareindustry #healthcareai #healthcarecompliance #documentation #documentationmatters #accuracymatters #reliabilitymatters #solutionproviders #serviceproviders #elicoltd #elicohcs #eliscription

Making AI Models in Healthcare Transparent One Bite at a Time – Regulatory Talk Series | Healthcare IT Today - Healthcare IT Today #Introduction: The blog post discusses the importance of transparency in AI models in healthcare and how it can be achieved gradually. #Current Challenges in AI Transparency: The post highlights the challenges faced in ensuring transparency in AI models in healthcare. #Regulatory Requirements: It outlines the regulatory requirements that need to be met for AI models in healthcare to be transparent. #Strategies for Transparency: The blog post suggests strategies that can be implemented to make AI models in healthcare more transparent. #Benefits of Transparent AI Models: It discusses the benefits of having transparent AI models in healthcare. #Conclusion: The post concludes by emphasizing the significance of transparency in AI models in healthcare and the need for continuous efforts in this direction. ai.mediformatica.com #health #healthcare #healthit #algorithm #drfirst #technology #finalrule #transparency #ehrs #hti1 #innovation #data #digitalhealth #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/435nMju)

Disparate sources of unstructured data, which abound in healthcare, are now assets to power generative AI. Here’s how private payers and healthcare systems can use the technology to deliver care. #healthcare #generativeai #wdthoughts #wdtribe