Doye Teido Agama EMBA’s Post

Will AI Do More in 2024? Bill Siwicki interviewed Ronen Lavi, CEO and cofounder of Navina for Healthcare IT News. Their conversation predicts that AI in 2024 will be bigger than previous digital transformations in healthcare, including EHR (EPR)! But responsible, explainable AI will be key as healthcare leaders have become more wary of AI's limitations. For the full article, follow the link below. https://lnkd.in/etquc4KM

How is AI transforming healthcare in 2024? We share four ways in which AI is impacting the provision of healthcare and how it’s affecting patient and provider experience. https://ow.ly/VJce50QBlBK #aiforhealthcare #generativeai #intelligentautomation ABBYY

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

This valuable article highlights how AI is transforming healthcare. Key points include advancements in meaningful use, explainable AI, and the shift towards tech-enabled, advanced payment models. Key Takeaways 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: AI will become a standard part of medical workflows, enhancing data summarization and clinical decision support. 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜: There’s a growing demand for AI that provides clear, understandable outputs, helping clinicians make better decisions. 𝗩𝗮𝗹𝘂𝗲-𝗕𝗮𝘀𝗲𝗱 𝗖𝗮𝗿𝗲: Inflation is pushing healthcare towards value-based care models, supported by advanced tech solutions to manage total care costs. These trends show AI's evolving role in making healthcare more efficient and effective. Read full article here: https://lnkd.in/etquc4KM

🚀 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

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

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)

According to a KLAS Research report, 58% of healthcare execs say their organization is likely to implement an #AI solution within the next year. FierceHealthcare highlights that the report shows many large #healthcare organizations are already embracing tools from vendors like Epic, Google, and RapidAI to assist in improving efficiencies in their operations. Other than safety, being able to produce outcomes, and demonstrating ROI, what do you think some AI must-haves are?  

Outwitting the AI with knowledge, reason, and meaningful implementation? 🤔 A few months ago, Mr. Ronen Lavi, a CEO at Navina discussed AI's meaningful usage in healthcare, its future potential, the importance of XAI (explainable AI), and the risks related to patient safety. As he stated: 𝙒𝙝𝙚𝙣 𝙞𝙩 𝙘𝙤𝙢𝙚𝙨 𝙩𝙤 𝙝𝙚𝙖𝙡𝙩𝙝𝙘𝙖𝙧𝙚, 𝙣𝙤𝙩𝙝𝙞𝙣𝙜 𝙘𝙖𝙣 𝙧𝙚𝙥𝙡𝙖𝙘𝙚 𝙩𝙝𝙚 𝙘𝙡𝙞𝙣𝙞𝙘𝙞𝙖𝙣-𝙥𝙖𝙩𝙞𝙚𝙣𝙩 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚. 𝘿𝙚𝙨𝙥𝙞𝙩𝙚 𝙤𝙫𝙚𝙧𝙝𝙮𝙥𝙚𝙙 𝙥𝙧𝙤𝙢𝙞𝙨𝙚𝙨 𝙤𝙛 𝙨𝙮𝙨𝙩𝙚𝙢𝙨 𝙩𝙝𝙖𝙩 𝙘𝙖𝙣 𝙤𝙫𝙚𝙧𝙘𝙤𝙢𝙚 𝙨𝙩𝙖𝙛𝙛𝙞𝙣𝙜 𝙘𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚𝙨, 𝙩𝙝𝙚 𝙧𝙚𝙖𝙡𝙞𝙩𝙮 𝙞𝙨 𝙩𝙝𝙖𝙩 𝙞𝙣 𝙖 𝙘𝙡𝙞𝙣𝙞𝙘𝙖𝙡 𝙨𝙚𝙩𝙩𝙞𝙣𝙜, 𝘼𝙄 𝙬𝙞𝙡𝙡 𝙖𝙪𝙜𝙢𝙚𝙣𝙩 𝙧𝙖𝙩𝙝𝙚𝙧 𝙩𝙝𝙖𝙣 𝙧𝙚𝙥𝙡𝙖𝙘𝙚 𝙝𝙪𝙢𝙖𝙣 𝙞𝙣𝙩𝙚𝙧𝙖𝙘𝙩𝙞𝙤𝙣 𝙞𝙣 𝙩𝙝𝙚 𝙚𝙭𝙖𝙢 𝙧𝙤𝙤𝙢. Do you agree with Mr. Lavi? 😊 Get the whole picture by reading the whole interview on Healthcare IT News: https://lnkd.in/etquc4KM One thing is certain: healthcare is undoubtedly being influenced by #AItechnologies. The focus is on the way they will be used to contribute to healthcare businesses and benefit their users. #AIvsHuman #AIinHealthcare #HealthcareSolutions #InnovativeTechnologies #SoftwareDevelopment #inviggo #navina