AgentifAI’s Post

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

The article "Healthcare IT News Highlights Significant Projections for the Role of AI in 2024" provides an insightful overview of how artificial intelligence (AI) is shaping the healthcare sector. It outlines key projections, particularly the expected rise in the use of large language models (LLMs) in clinical workflows. The article emphasizes that while AI has the potential to transform patient care, there must be strong safety measures such as clinical relevancy filters to ensure the accuracy of AI outputs. Furthermore, healthcare leaders are exploring value-based care models, with AI playing a pivotal role in automating administrative tasks like appointment scheduling and clinical documentation, which can alleviate workforce challenges and enhance patient experiences (Healthcare IT News, 2024). From an analytical perspective, the integration of AI in healthcare offers tremendous opportunities but also significant challenges. For AI to gain widespread acceptance, particularly among patients, technology must provide transparent and reliable insights that clinicians can trust. Moreover, AI’s role in reducing administrative burdens addresses ongoing workforce shortages, making it a strategic tool for improving healthcare delivery. However, healthcare organizations must be cautious about over-reliance on AI, ensuring it serves to complement, rather than replace, human judgment (Healthcare IT News, 2024). References Healthcare IT News. (2024, October 18). AI in 2024: Welcome to the 'new normal' in healthcare. Healthcare IT News. https://lnkd.in/df4HrSXZ

🚀 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

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

This article from FORTUNE discusses the potential of AI to transform healthcare systems while addressing concerns about its implementation. Here's a summary of the key points: ** AI's Promise in Healthcare ** AI offers solutions to alleviate pressures on struggling healthcare infrastructures by: - Automating administrative tasks - Assisting with clinical decisions - Reducing wait times - Interpreting scans These applications could allow physicians to spend more time with patients while maintaining high standards of care. ** Challenges and Risks ** The article highlights several issues that have hindered AI adoption in healthcare: - Margin for error in popular AI tools, particularly large language models (LLMs) - Inconsistencies in AI-generated recommendations due to training on unfiltered internet data -- Lack of robust regulatory frameworks, especially in the U.S. - Concerns about data quality and accountability ** Rebuilding Trust in Healthcare AI ** To address these challenges and rebuild trust, the article suggests: - Increasing transparency in AI development and testing - Training AI tools exclusively on robust healthcare data - Implementing strong regulatory frameworks - Adhering to high standards of data integrity and patient safety The author emphasizes the need for AI in healthcare to be "more boring" - transparent, thoroughly tested, and grounded in science rather than presented as a magical solution. ** Potential Benefits ** If implemented correctly, AI has the potential to: - Enhance human capabilities in healthcare - Reduce errors and improve decision-making - Promote a more proactive, preventive model of care - Transform healthcare to be more efficient, effective, and patient-centered The article concludes that addressing the trust gap in AI is crucial to unlocking its potential to revolutionize healthcare systems. https://lnkd.in/ecbeCdG2 #healthcare #healthcareinnovation #healthcareit #healthcareai #ai #genai #generativeai #llm #ml #bigdata #healthcaredata #PatientEngagement #PatientCare #PatientOutcomes #AccessToCare

4 ways to rebrand AI in healthcare The key to building trust is differentiating hype from reality. https://lnkd.in/eYY3ntr6

What health care organizations do to seize the potential of generative AI could unleash possibilities that transform the sector. Read more here. https://ow.ly/8oLc30sBnwB #EYCanada #Consulting #projectmanagement #Transformation

I’m excited about the future of #AI in #healthcare. While the potential is limitless, it’s important to address the barriers that stand in the way, particularly trust and adoption. At cliexa, we’re committed to tackling these challenges head-on by creating AI-driven solutions that not only provide advanced predictive insights but also ensure transparency, compliance, and user trust. This article by Google highlights some key predictions for 2024, and I couldn't agree more with the emphasis on building trust in AI. #AIinHealthcare #DigitalHealth #AIAdoption #cliexa #TrustInAI #HealthcareInnovation

Ready to embark on a journey into the future of healthcare? 🏥 Let's dive into Rami Riman's, MD, Director of Clinical and Business Improvements at InterSystems latest blog where he unravels the incredible impact of AI on reshaping the industry! From personalized patient care to predictive analytics, AI is revolutionizing healthcare, driving innovation and ultimately improving outcomes. 💡 Don't miss out on the transformative power of AI in healthcare. 🌐Check out the full blog here- https://lnkd.in/esjeTHMT #InterSystems #Healthcare #AI #Innovation #HealthTech #Blog

Artificial Intelligence (AI) continues to dominate headlines, many healthcare systems are left sorting out fact from fiction about the latest additions to the list of revolutionary technologies. We see successful organizations use this four-step readiness roadmap to responsibly implement their AI programs and deliver better experiences for their patients and staff.