Pulse Infoframe Inc.’s Post

💡 Great to read insightful messages from Pan American Health Organization / World Health Organization (PAHO/WHO) Director, Dr. Jarbas Barbosa, and the Banque Interaméricaine de Développement President (IDB), Ilan Goldfajn in the introduction of their latest publication: 🔴 Artificial Intelligence (AI) in Public Health: Readiness Assessment Toolkit. 🎙Dr. Barbosa stated, ‘PAHO is deeply committed to supporting all Member States in integrating AI into their public health systems. Embracing AI in public health is a collective effort to ensure no one is left behind.’ Similarly, the IDB President highlighted, ‘We are promoting AI at the Banque Interaméricaine de Développement... [and] ... our vision to unravel AI’s enormous potential both at the bank as well in our region. Strengthening institutions and governance, investing in data and infrastructure and, importantly, people’s skills will be key to reap the benefits of AI in the public and private sectors. 🎯 The aim of this Readiness Assessment Toolkit. To help governments assess and enhance their capacity to integrate #AI into their health systems, paving the way for more informed decision-making, strategic planning, and improved health outcomes. 🤝 PAHO and IDB are committed to supporting governments in building a strong foundation for AI in public health, and this toolkit is a key step in that direction. Jennifer Nelson #PublicHealth #ArtificialIntelligence #HealthInnovation #PAHO #IDB #GlobalHealth #AIForGood #WHO #AI

In this episode Erik Swanson and I dig in on #ai and #analytics in health systems, expanding on his thoughts from February's Flash Report (linked below). Erik shares his expertise on choosing problems and good KPIs rather than being swayed by possible solutions, as well as focusing on the science of #healthcare delivery. 📰 : https://lnkd.in/g4N96GvN

When artificial intelligence is developed with understanding and intention, we create space for radical change. The Patrick J. McGovern Foundation’s partnership enables TIP Global Health to expand access to health resources in underserved communities by supporting the development of an AI framework leveraging point-of-care data to deliver predictive insights that improve maternal and child health outcomes in East Africa. This demonstrates AI’s promise to strengthen digital health systems, improving the well-being of our world. Learn more about their bold commitment to AI for good at https://lnkd.in/eD2SRhaV grants-press-release/. #PJMFIMPACT2024 #TechForGood #SocialImpact #AIInnovation #HumanCenteredAI

🗣️ "The more people know about health data use, the less they fear. The less they know, the more they fear." This quote from the TEHDAS2 research group perfectly introduces the symposium organized by Université Toulouse Capitole et l'IRDEIC. Nathalie De Grove Valdeyron opened the event by explaining the EHDS. ❓ **Why?** To establish European governance of health data and create large health databases for innovative treatments. ⚙️ **How?** Through the alignment of EU competencies and laws. 📝 **Goals:** 1️⃣ Use of primary health data. 2️⃣ Use of secondary health data, diverse and still needing clarity. 🔍 **Responsibilities:** Organizations must manage health data access and ensure data holders comply with regulations. She concluded with the challenges, such as integrating existing laws. Next, Markus Kalliola from the Finnish Innovation Fund Sitra presented the TEHDAS2 joint action on the use of secondary health data. Yiannis Tolias then detailed the AI Act and its integration with the EHDS. Anne-Sophie Hulin compared Quebecois and European governance approaches, encouraging transatlantic dialogue. #HealthData #EHDS #Innovation #DataGovernance #AI #BigData 📊📜

Day 9: The Future of Health Data 🌐 Day 9 is about looking toward the future of health data. 🌟 Big data, AI, and digital health are transforming how we approach global health challenges. Activity: Read about Digital Health Data in the WHO’s report and share your thoughts on how technology can improve global health data collection. Question: How can digital health tools help solve global health challenges? #FutureOfHealth #DigitalHealth #GlobalHealthData #12DaysOfHealthData

🔥 Hot Article Sharing! 1200+ views and 100+ downloads in three months online!   📄 Title: Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice #data   ✒️ Authors: Yuyang Yan*, Wafaa Aljbawi, Sami O. Simons, Visara Urovi   🧠 #COVID-19 has affected more than 223 countries worldwide and in the post-COVID era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. This study focuses on the analysis of voice features and machine learning models in the automatic detection of COVID-19.   👉 Interested in this article? Click on this link to read the full article: https://lnkd.in/gG7P7jEm (download as PDF for better viewing 👀 ). #explorDHT #DigitalHealth #COVID19 #deeplearning

#ArtificialIntelligence (#AI) has become a hot topic in #globalhealth, promising to revolutionize how we approach health service delivery and disease management. But are we asking the right questions? In our latest blog, MSH #data analyst Ashley Lauren Sorgi challenges global health leaders to focus on building strong #healthdatasystems to ensure the most equitable use of these promising new technologies. “We are laying the groundwork for ensuring that high-quality data is available for decision making and potential AI-driven analyses…,” she writes. “As we continue to incorporate AI into our digital health toolkit, we will keep rolling out approaches that put the health workforce, governance, and quality of care at the center.” https://lnkd.in/eBachYrT

I read and analyze hundreds of news pieces and announcements about digital health and AI per week on average. I usually add context for the news articles I publish to aid in their understanding, but it got me thinking:  How can I assist those whose job is not analyzing news but want to get an understanding of how to determine whether an article or press release matches the expectations of the future of digital health? So I came up with the "Digital Health Bingo"! If two of the six statements below are true for your announcement, article, or press release you are reading, then it is aligned with the direction digital health is moving. Simple, right?

🌐 Breaking news in digital health: A multi-variate COVID-19 prediction model from crowd-sourced respiratory voice data has already garnered 1200+ views and 100+ downloads! 📊📉 🌟 Dive into the groundbreaking research by Yuyang Yan*, Wafaa Aljbawi, Sami O. Simons, and Visara Urovi on non-invasive detection methods for COVID-19 using voice analysis and machine learning. 📚 "Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice" is making waves in the #data and #DigitalHealth communities. #COVID19 🔍 Learn how this study could revolutionize post-COVID detection with its focus on accessibility and scalability. Click the link to access the full article: 🔗https://lnkd.in/gG7P7jEm #explorDHT #deeplearning 👁️🗨️ Don't miss out on this insightful read – download as PDF for an enhanced viewing experience. Stay ahead in the fight against COVID-19 with the latest in digital health innovation!

Watch as Laso Ai CEO Tadiwanashe Dylan Dondoro emphasizes the value of collaborative research and the potential of locally hosted Al datasets for impactful digital health solutions at Med Talk Zambia’s AGM. #LasoDigitalHealth #MedTalkZambia #CollaborativeResearch