Andrew Adabie’s Post

🌟 New White Paper: Enhancing AI Governance in Health Systems for Better Patient Outcomes! The Duke-Margolis Institute has released an in-depth white paper addressing the essential role of governance in AI integration within healthcare. This paper outlines strategic frameworks to ensure responsible, safe, and equitable AI implementation across health systems. Key Takeaways: 🔍 AI Governance & Strategy: Clear guidelines on evaluating AI tools for safety, compliance, and ethical impact ensure they align with a health system’s mission and regulatory standards. 📋 Core Components of Governance: Effective governance systems cover tool identification, thorough assessment, and ongoing monitoring for consistent performance. 🤝 Customization for Success: Health systems are advised to adapt governance structures to their resources, allowing smaller and larger systems to balance centralized and federated approaches. 🌐 Promoting Equity in AI: To prevent AI from exacerbating health inequities, resource-sharing among systems and government incentives are crucial for broader access to governance tools. 🛠️ Roles of Key Stakeholders: Policymakers, developers, and health system leaders must collaborate to create sustainable governance, reduce implementation costs, and ensure AI benefits are widely accessible. #HealthTech #AIGovernance #HealthcareInnovation #HealthEquity #PatientSafety #DataGovernance #DigitalHealth #HealthSystems #AIinHealthcare #DukeMargolis Thank you for sharing Karen Habercoss, MBA, MSW Hailey H. Nikesh Kotecha Mark Lifson Anurang Revri Ram Rimal Lauren Rost, PhD Matthew Solomon, MD, PhD, FACC David Vidal Ellen Woo Daniel Yang, MD

💡 ‘Post-market surveillance when it comes to AI is really key to making sure that you are still delivering at the level you’ve shown in clinical studies.’ 💡 ‘All AI is not the same. [...] We think about AI as a ‘bucket’ and it comes with all the things we’ve read about in the news but that doesn’t mean that a regulated AI as a medical device is that same kind of phenomenon.’ Some brilliant insights from our Clinical AI Lead, Dr Dilraj Kalsi, as he joined Health Tech World's recent podcast discussing whether AI is the health tech panacea. Click the link below to listen🎧👇

📣 Thrilled to share the launch of our latest blog post: Transforming Healthcare: Unleashing the Power of AI for Frontline Workers 📱 The healthcare industry is constantly evolving, and the integration of #artificialintelligence (#AI) into clinical and operational workflows has the potential to bring significant improvements in care delivery, especially for frontline health workers such as community health workers (CHWs). Innovations in Healthcare recently conducted a study that focused on how three organizations - Audere, Simprints, and THINKMD - are using AI to support CHWs in low- and middle-income countries. The study findings were recently shared in a webinar hosted by Innovations in Healthcare. During the webinar, leaders from these social enterprises and their implementing partners, delved into this growing field, unraveling insightful perspectives and illuminating the potential of AI in revolutionizing #healthcare accessibility and #equity. Read our blog to learn more: https://ow.ly/jt7a50QYNLc

How can AI interventions empower community health workers on the front line? 💬 The latest blog post from Innovations in Healthcare addresses this question and explores the results of a new study on the work of Simprints, Audere and THINKMD in this field. 👇 Read the blog NOW to access key takeaways 👇 Watch the webinar where we unpacked the study findings #ai #healthcare #healthinnovations #tech4good

“Transforming Public Health with AI: Real-World Case Studies and Impactful Insights” 🌐 The growing role of AI in public health shows that with targeted investments, AI can effectively address prevention, clinical intervention challenges, advancing the goals of equitable and accessible healthcare. Here are some case studies where investments in AI have made a significant impact: 1. AI in Managing Chronic Diseases: In several EU countries, AI-driven platforms are being integrated into chronic disease management programs. These platforms analyze patient data to help healthcare providers monitor patients remotely and provide timely interventions when necessary. This not only improves patient outcomes but also reduces the burden on healthcare resources by minimizing emergency visits and hospital readmissions. 2. Predictive Analytics for Public Health Management: According to a *McKinsey report( attached below) *on healthcare transformation through AI, predictive analytics has enabled health systems to anticipate health risks. For example, AI models were used to predict disease outbreaks, allowing health officials to allocate resources more efficiently and prevent healthcare systems from being overwhelmed during illness surges. This case emphasizes how AI can enhance operational efficiency and support better population health management through data-driven insights. These examples demonstrate how AI investments are enhancing health outcomes, improving efficiency, and contributing to sustainable healthcare models. 🌍 #HealthcareInnovation #PublicHealth #SustainableHealth #PredictiveAnalytics #McKinsey 🔗 McKinsey Report on Healthcare Transformation with AI

🌍 AI-Health News The Essential Role of CAIOs: Bridging Healthcare, Policy, and Business Strategy CAIOs play a crucial role in integrating AI into healthcare, enhancing patient outcomes and operational efficiency. 🤖🏥 https://lnkd.in/dzPakR3Y #AIinHealthcare #HealthTech #DigitalHealth #HealthcareInnovation #PatientOutcomes

Jan Herzhoff, President of Health Markets at Elsevier Health, will deliver the keynote for the "Preparing Doctors for the Digital Future" session at the 2024 Global Digital Health Summit. 👉ttps://lnkd.in/e8yRSgP6 In the keynote, he will: 💡 ...share insights from Elsevier's Latest Report on AI Attitudes in Healthcare, including how healthcare professionals perceive the integration of AI in their practice and the potential benefits and challenges they foresee. 💡 ...explore the common challenges clinicians face when searching for medical information and how AI-powered solutions can streamline this process, saving time and improving accuracy in clinical decision-making. 💡 ...share valuable learnings from Elsevier's AI case studies, including the global launch of Elsevier's ClinicalKey AI, as well as our exciting work with India's frontline healthcare workers (Project DIISHA). #GDHS2024 #globaldigitalhealthsummit #digitalhealth #futureofhealthcare #elsevierhealth #elsevier

Day 1 of the Population Health Alliance Innovation Summit. Dr. Maneesh Goyal, COO at Mayo Clinic Platform, is discussing innovations in care transformation. Key points about the Mayo Clinic Platform: large data sets, federated data model, collaboration with other institutions (internationally)...54 solution developers, nine distributed data network members, 35 healthcare providers...and all open source/de-identified data for research, innovation, knowledge-sharing, bias reduction, and development of solutions to improve healthcare and reduce health inequities. #innovation #caretransformation #AI #collaboration

Jan Herzhoff, President of Health Markets at Elsevier Health, will deliver the keynote for the "Preparing Doctors for the Digital Future" session at the 2024 Global Digital Health Summit. 👉https://bit.ly/3TVux43 In the keynote, he will: 💡 ...share insights from Elsevier's Latest Report on AI Attitudes in Healthcare, including how healthcare professionals perceive the integration of AI in their practice and the potential benefits and challenges they foresee. 💡 ...explore the common challenges clinicians face when searching for medical information and how AI-powered solutions can streamline this process, saving time and improving accuracy in clinical decision-making. 💡 ...share valuable learnings from Elsevier's AI case studies, including the global launch of Elsevier's ClinicalKey AI, as well as our exciting work with India's frontline healthcare workers (Project DIISHA). #GDHS2024 #globaldigitalhealthsummit #digitalhealth #futureofhealthcare #elsevierhealth #elsevier