Jason Barry’s Post

🚀 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

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

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

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)

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

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.

The future of healthcare! ClinicalKey AI combines trusted, evidence-based clinical content with conversational search powered by generative AI to support clinicians in delivering high-quality patient care. It is also designed to assist clinicians in making informed decisions at the point of care by providing quick access to reliable information.  Feel free to send me a direct message if you'd like to learn more about ClinicalKey AI. #pointofcare #patientcare #clinicians #ai #quality #clinicalinformation #clinicaldecision

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

🚀 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