AI4GreenSME’s Post

A typical example to combining AI and the promotion of sustainability is the Healthcare sector. Today, we would like to present you the FEAM white paper on “Sustainable AI to Drive Global Health.” This paper is aimed at showing how applying artificial intelligence (AI) can drive transformative change towards sustainable healthcare systems in all European countries. As key insights: - The potential of AI in the field of biomedical research and development - The fundamental question of trust within the healthcare systems - The creation of the European Health Data Space and other EU supportive legislations and policies. You wish to know more? Here is the white paper: https://lnkd.in/dnkRBD4n Let's empower SMEs to thrive in their green and digital transition journey! #ai4greensme #ai4green #circulareconomy #sustainability #AIforGood #entrecomp #entrecompframework

"Hopes for AI to make a profound impact in healthcare delivery have never been higher," writes Fred Bazzoli, Editor in Chief of Health Data Management, in an article about AI in healthcare. He notes that "early applications of some AI-infused technologies have shown promise in reducing clinician burden," and cites the recent report on Navina from the American Academy of Family Physicians which found that Navina's solution "helped reduce preparation time by 38 percent, improved perceptions of clinical care performance and practice satisfaction, while easing burnout pressures." Read the full article on the "Prometheus Moment" of healthcare and AI here: https://lnkd.in/gvHp54SW

🚀 3 Must-Do Strategies when implementing AI, according to Albert Marinez, Chief Analytics Officer at Cleveland Clinic 👉 One of the big questions today in healthcare is how hospitals and health systems are going to make best use of the power of artificial intelligence across the enterprise. Cleveland Clinic is one of the most renowned hospitals for its commitment to patient-centered care, medical innovation, and clinical excellence. Get to know key tips to fully unleash the potential of artificial intelligence in transforming healthcare 👇 1. Foundational Data Platform 2. Innovation Ecosystem 3. Activation of Organization https://lnkd.in/ewW3WMHz

Empowering Healthcare Transformation with Healthy Datasets - DistilINFO Hospital IT Summary: #Introduction: The blog post discusses the importance of healthy datasets in empowering healthcare transformation. It emphasizes the role of data in driving improvements in patient care and operational efficiency within healthcare organizations. #Challenges in Healthcare Data Management: The post highlights the challenges faced by healthcare organizations in managing and utilizing data effectively. Issues such as data silos, interoperability, and data security are discussed in detail. #Benefits of Data Integration: The benefits of data integration in healthcare are outlined, including improved decision-making, enhanced patient outcomes, and streamlined workflows. The post emphasizes the importance of breaking down data silos to unlock the full potential of healthcare data. #Role of Artificial Intelligence in Healthcare: The role of artificial intelligence (AI) in healthcare is explored, ai.mediformatica.com #data #healthcare #transparency #datasets #governance #datagovernance #interoperability #artificialintelligence #innovation #intelligence #this #artificialintelligenceinhealthcare #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/49cBdj0)

Healthy datasets are the cornerstone of effective AI initiatives - Healthcare IT news #Introduction Healthcare IT professionals must prioritize the quality and integrity of datasets for successful AI initiatives in the industry. #Challenges in healthcare datasets Issues such as data silos, lack of interoperability, and data quality hinder the effectiveness of AI initiatives in healthcare. #Strategies for improving datasets Implementing data governance policies, utilizing data standardization tools, and fostering collaboration among stakeholders are key strategies for enhancing healthcare datasets. #Benefits of healthy datasets High-quality datasets lead to more accurate AI algorithms, improved clinical decision-making, and better patient outcomes in healthcare settings. #Conclusion Healthcare IT professionals play a crucial role in ensuring the quality and integrity of datasets to drive successful AI initiatives in the industry. #HealthcareIT #AIinit ai.mediformatica.com #data #health #healthcare #healthsystems #learning #news #artificialintelligence #digital #healthcareit #intelligence #medicine #penn #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3x8X517)

𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜: 𝗙𝗿𝗼𝗺 𝗗𝗮𝘁𝗮 𝘁𝗼 𝗜𝗺𝗽𝗮𝗰𝘁 AI and data are transforming healthcare by making it: ✓ More objective ✓ Tailored to patients ✓ Preventive instead of reactive However, the challenge remains: "garbage in, garbage out." The quality of AI's outcomes depends entirely on the quality of the data it processes. And healthcare data, usually highly confidential, requires careful and strategic management. Curious about how we can overcome these challenges? Join the Health Data Summit 2025 by IHD and WAAI to 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗶𝗻 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 and take the first step toward better healthcare and more impactful research. Learn more & register 👉 https://lnkd.in/d7NiYJbc

🌟 Did you hear about the exciting release from the Coalition for Health AI? 🌟 🤖 The draft framework for responsible development and deployment of artificial intelligence in healthcare is now open for public review and comment. How cool is that? 🚀 🔍 The Assurance Standards Guide and Assurance Reporting Checklists aim to ensure that AI in healthcare benefits all populations, including underserved communities. It's like having a superhero for healthcare equity! 💪 📝 The guide outlines industry standards for AI deployment, while the checklists help identify use cases and monitor healthcare AI products. Who knew checklists could be so powerful? ✅ 🔬 Six use cases are presented, including predictive EHR risk and genomics, showcasing best practices in healthcare AI. Which use case excites you the most? 🧐 💬 Your thoughts matter! Join the public review and comment period to shape the future of AI in healthcare. Let's make sure AI serves all of us effectively and equitably! 💬 ℹ️ Learn more about this groundbreaking framework here: [CHAI Responsible AI Framework](https://lnkd.in/gxk2qB8p) Let's chat! What do you think about the impact of responsible AI in healthcare? Share your thoughts below! 💡

We're excited to share that The AI Collaborative, a group formed by The Health Management Academy, Microsoft, and Nuance in 2022, has had their “AI Maturity Roadmap” published in this month’s AI issue of the New England Journal of Medicine (NEJM Group). Microsoft, Nuance Healthcare, and The Health Management Academy partnered with more than 50 AI decision-makers from leading health systems across the United States to establish the first-ever roadmap for healthcare providers implementing AI. The AI Maturity Roadmap is a valuable tool for guiding best practices, investments, and conversations, as health systems advance their use of #HealthcareAI. A huge thank you to contributing authors: Peter Durlach, Dr David Rhew, M.D., Andrew Merrill, Jeremy Gottlich, Jon McManus, Robert Fournier, M.D., and Tristan Markwell. Read more and explore the roadmap in this month’s issue of the New England Journal of Medicine/NEJM Group: https://lnkd.in/eB3rj_nv

The upcoming "Artificial Intelligence & Machine Learning Forum" on November 7, 2024, is set to be an exciting, action-packed day! With top experts from all over the world, this event dives deep into the most pressing topics around AI in healthcare, covering everything from responsible AI practices to groundbreaking solutions at the bedside. Here’s why this lineup is so exciting: Kicking Off with Responsible #AIinHealth: The forum opens with a powerful keynote on building ethical, responsible AI in healthcare. With AI evolving so quickly, setting a strong ethical foundation is essential, and this talk will set the tone for responsible innovation across the field. Tackling the #Healthcare #AITalentShortage: There’s a huge buzz around building skilled teams to drive healthcare AI forward! In a world where talent can make or break AI innovation, this discussion dives into how we can bridge that gap and unlock new possibilities in healthcare. Game-Changer: Generative AI at the Point of Care: Imagine generative AI assisting doctors in real-time! This session explores exactly how generative AI can supercharge decision-making in clinics, making diagnostics faster and more precise. The potential impact here is mind-blowing! Building the Future of AI in Healthcare: Expect discussions on emerging business models for #AIplatforms an absolute must for anyone looking to stay at the forefront of #AIpowered solutions in healthcare. Responsible Data & #Interoperability: As data fuels AI, handling it responsibly is key. This discussion tackles the real challenges in ensuring secure and effective data sharing, making it invaluable for those looking to bring AI into healthcare safely. With such a dynamic mix of topics, this forum is like a roadmap to the future of healthcare! By bringing together global leaders and visionary speakers, it’s setting the stage for groundbreaking changes that could reshape how we experience healthcare. If you’re excited about AI’s potential to make healthcare smarter, faster, and fairer—this event is not to be missed! Secure your spot today https://shorturl.at/Z3AiV H.E. Mubaraka Ibrahim Dr. Ricardo Baptista Leite, M.D. Dr Evelyn Hovenga AM Prof. Shahrukh Hashmi Dr. Riyad Alshammari, PhD Dr. Dr. Rachida Parks, PhD Prof. Mowafa Househ, Maaz Sheikh Saad Alhuzami Dr. Rahul Goyal   Dr Ahmed Abu Salah Dr. Lama Nazer, Lorena P.   Shadab Khan Mazin Abdelhameed Pilar Fernandez Hermida Dmitry Etin Osama Elhassan, Ph.D., FIHASI, Svetlana Efimova , Mazin Gadir PhD MSc BEng PMP Prosci LSSGB EBAS Agile Dr. Meshari F. Alwashmi Amr Jamal Jijo James ZIMAM

🅑🅡🅔🅐🅚🅘🅝🅖Ⓓⓞⓦⓝ 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝒊𝒏 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝑳𝒂𝒏𝒅𝒔𝒄𝒂𝒑𝒆 Healthcare is a data-rich field, but extracting actionable insights can be a challenge. This is where Retrieval Augmented Generation (RAG) comes in ➡️𝐑𝐀𝐆- 𝐢𝐧 𝐚 𝐍𝐮𝐭𝐬𝐡𝐞𝐥𝐥 🌰 ▶️ #Retrieval🔎 This stage involves sifting through a massive knowledge base/Graph having huge healthcare data to find the most relevant information for a specific query ▶️ #Augmentation✨ Once it finds relevant info, It enriches the retrieved data with insights from your specific query, creating a more nuanced understanding of your question . ▶️ #Generation✍️ Finally, RAG leverages this enriched information to power a LLM to generate a comprehensive , clear & informative response tailored to the user's needs ➡️𝐑𝐀𝐆 - 𝐒𝐭𝐞𝐩-𝐛𝐲-𝐒𝐭𝐞𝐩 ♻ ▶️𝐒𝐭𝐞𝐩 𝟏🔍#Understanding #RetrievalAugmentedGeneration   ✅RAG combines the power of two cutting-edge AI techniques: retrieval-based models and generative models   ✅It seamlessly integrates information retrieval with natural language generation, enabling systems to produce more coherent, contextually relevant responses ⬇️𝐒𝐭𝐞𝐩 𝟐💡#Identifying #HealthcareApplications   ✅In healthcare, RAG holds immense promise across various domains, from clinical decision support to patient education and beyond   ✅Imagine a virtual medical assistant powered by RAG, capable of providing personalized health advice or assisting in symptom diagnosis ⬇️𝐒𝐭𝐞𝐩 𝟑 🛠️ #Implementation in #Healthcare   ✅Implementing RAG in healthcare involves data collection, model training, and integration into existing systems   ✅Collaborating with multidisciplinary teams is crucial to ensure ethical considerations, data privacy, and clinical relevance ▶️𝐒𝐭𝐞𝐩 𝟒🌟 #Impact & #Benefits   ✅The potential impact of RAG in healthcare is profound, ranging from improving diagnostic accuracy to enhancing patient engagement and satisfaction   ✅By augmenting human expertise with AI capabilities, RAG has the potential to revolutionize healthcare delivery, making it more efficient and patient-centric ➡️𝐌𝐲 𝐏𝐫𝐨𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞👔 ▶️With a background in healthcare App & exposure to AI , I've had the privilege to witness the integration of RAG into healthcare applications ▶️Collaborating with talented teams, we've witnessed firsthand how RAG streamlines healthcare data and enhanced provider searches . . 🤔 How important is relevancy in data search especially in Healthcare? 🤔What techniques have you implemented in your search apps to make them more relevant ? 💬Kindly share your views in the comments below👇 . . 👉 Follow me Biswajeet Sahu  & 📢 Subscribe to "𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐈𝐓 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬" 👉 https://lnkd.in/gEsYXMr4 to stay up to date on the latest 𝐇ealthcare 𝐈𝐓 𝐀dvancement𝐬 Image/sources (lspotintelligence.com,giphy.com) #healthcare #diagnosis #AI #innovation #RAG #machinelearning