VEIL.AI’s Post

This is really interesting. We won the Health-X dataLOFT prize in Berlin. Really excited to start collaboration. Especially interesting is the EHDS angle. EHDS legislation was accepted in the European Parliament a couple of weeks ago. Centric in the legislation is how to facilitate secondary use of health data while safeguarding people's privacy. Health-X dataLOFT is tasked with developing a platform suitable for that in Germany and Europe. We are very excited to be a part of that journey! Berlin Institute of Health @@Charité - Universitätsmedizin Berlin Digital Entrepreneurship Hub hashtag #EHDS #GDPR #dataprivacy #dataanonymization #healthtech #federatedlearning

European Health Data Space (#EHDS) is knocking on your door. This European legislation will quickly change a lot within regional, national and international data availability. But how will it effect your organization? Listen to Markus Kalliola "EHDS business value for companies" so you can make the right choices now. European Health Data Space (EHDS), #FHIR with or without #openEHR and generative Artificial Intelligence (#AI) are hot topics; experience the latest developments in the field of data availability in healthcare and social care. Our 'dream team' of TOP international speakers Markus Kalliola (Sitra) 'EHDS business value for companies', Sidharth Ramesh (Medblocks)'openEHR and structured data in the age of generative AI' and Grahame Grieve (hashtag #HL7FHIR) 'Using openEHR with FHIR - How can we make it easier?' are willing to share their vision with you. After their presentations Hanna Pohjonen will moderate a lively discussion with Sidharth, Markus, Grahame and you. Take this opportunity and ask these visionaries your own question. Win 1 of the 15 wildcards for this webinar by leaving your comment! You can also visit our live Masterclass openEHR 'The added value of a vendor neutral open data platform' at the ICT&health World Conference in Maastricht (Netherlands) on May 16th. A Masterclass openEHR live session with CODE24, vitagroup, Maarsingh & van Steijn, EY, and USoft. openEHR, in combination with FHIR and #OMOP is gaining ground rapidly. To learn more about openEHR, the Masterclass is a unique combination of our 5 online courses, combined with three Masterclass openEHR TOP Webinars. For more information about the Masterclass openEHR courses send me a PM and ask for a demo. openEHR NL openEHR International openEHR UK openEHR Sverige Stichting HL7 Nederland Health Level Seven International Better Tietoevry HiGHmed Cambio Group Nedap Healthcare Dedalus Agence du numérique en santé Ministerie van Volksgezondheid, Welzijn en Sport Nictiz CumuluZ HEALTH-RI, RSO Nederland Santeon mProve ziekenhuizen The Nordic Interoperability Project EIT - European Institute of Innovation and Technology NFU - Nederlandse Federatie van Universitair Medische Centra NHS Sistema de Salut de Catalunya European Commission Nederlandse Vereniging voor Klinische Informatica (NVKI) Leyr #IWC24

As the #DMEA conference is happening this week in Berlin, we are revisiting a topic from our recent healthcare meetup: “Interdisciplinary Teams in Healthcare AI” 👩⚕️ 👨🏭 Today, we want to discuss some challenges and throughout the week we will look at enablers as well as startups that can be useful for this topic. Introducing new roles that bring AI knowledge (e.g.symptom prediction or data analysis of biomarker) to healthcare teams can increase innovation speed and open new opportunities in leveraging data. To make these additions to the team a success one should: 1. 🌉Bridging Knowledge Gaps: Creating a common language and understanding between healthcare professionals and tech experts to facilitate seamless collaboration. 2. 🔍 Maintaining Patient-Centric Focus: Ensuring that technological advancements enhance rather than complicate the patient care experience. 3. 🔒 Data Privacy and Ethics: Navigating the complex landscape of data privacy and ethical considerations inherent in using AI in healthcare. 4. 📁Regulatory Compliance: Keeping pace with evolving regulations that govern the use of AI and data in healthcare settings (e.g. the recent EU AI Act). 5. 🔃 Integration with Existing Systems: The technical challenge of integrating new AI technologies with existing healthcare infrastructures. What do you think of these challenges? Did you encounter one of them already or is one standing out to you? Let us know your thoughts below! P.S.: 🤫We are working on a whitepaper in this space - if that’s of interest to you, comment “whitepaper” below and we’ll make sure to get you one! 🙂

There’s a lot to take in regarding the Office of the National Coordinator for Health Information Technology (ONC)’s final rule for health IT certification. Not only does the final rule – HTI-1, or Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency and Information – include measures to advance interoperability, it is designed to improve transparency and establishes timelines for the adoption of new baseline standards. Further, as Fierce Healthcare reports, the final rule “establishes first-of-its-kind nationwide requirements for transparency around AI and algorithms used in health IT.” HTI-1 also implements key provisions of the 21st Century Cures Act, with a focus on health IT certification and information blocking. Read more about this final rule: tinyurl.com/56c766xm | #onc #HealthcareInteroperability #CuresAct #HealthIT

For Europe to stay competitive in AI and Data we must match the development of regulation and guardrails with investments in research and development. Almost every project that we fund at @IHI makes use of artificial intelligence and advanced analytics and over the years we have supported the development of many large, important datasets - from deep phenotyped cohorts, via mobile devices to Real World Data. A key question for Innovative Health Initiative (IHI) - and for many other funding organisations - is how these datasets can be used to drive European innovation into safe, unbiased AI tools that makes a difference to patients and healthcare systems. Our unique model of large public-private partnership allow the many groups that must have a say - patients, healthcare professionals, researchers, regulators and industry - to join forces and drive innovation in an open, trusted environment.   Looking forward to speaking on this topic at the European Tech Sovereignty Summit at the French Ministry for Europe and Foreign Affairs today and contribute to the roundtable on "AI for Health: a European story of innovation & shared sovereignty" with Yann-Mael Le Douarin, Head of the Health & Digital Transition department, Direction générale de l'offre de soins (DGOS) Derya Şahin, MD Health Policy Analyst & Advisor, OECD - OCDE Marc Julien, Managing Director - EIT Health France & Senior Director - Accelerator EIT Health #AIforHealth

As the #DMEA conference is happening this week in Berlin, we are revisiting a topic from our recent healthcare meetup: “Interdisciplinary Teams in Healthcare AI��� 👩⚕️ 👨🏭 Today, we want to discuss some challenges and throughout the week we will look at enablers as well as startups that can be useful for this topic. Introducing new roles that bring AI knowledge (e.g.symptom prediction or data analysis of biomarker) to healthcare teams can increase innovation speed and open new opportunities in leveraging data. To make these additions to the team a success one should: 1. 🌉 Bridging Knowledge Gaps: Creating a common language and understanding between healthcare professionals and tech experts to facilitate seamless collaboration. 2. 🔍 Maintaining Patient-Centric Focus: Ensuring that technological advancements enhance rather than complicate the patient care experience. 3. 🔒 Data Privacy and Ethics: Navigating the complex landscape of data privacy and ethical considerations inherent in using AI in healthcare. 4. 📁 Regulatory Compliance: Keeping pace with evolving regulations that govern the use of AI and data in healthcare settings (e.g. the recent EU AI Act). 5. 🔃 Integration with Existing Systems: The technical challenge of integrating new AI technologies with existing healthcare infrastructures. What do you think of these challenges? Did you encounter one of them already or is one standing out to you? Let us know your thoughts below! P.S.: 🤫 We are working on a whitepaper in this space - if that’s of interest to you, comment “whitepaper” below and we’ll make sure to get you one! 🙂 #DMEAConference #HealthcareAI #InterdisciplinaryTeams #InnovationInHealthcare #DataPrivacy #RegulatoryCompliance #AIIntegration #PatientCare #HealthTechChallenges #Whitepaper

Next week Wednesday 17.1, I'm privileged to present my perspectives on health data and AI during the forthcoming inauguration of the Belgian Health Data Agency (HDA). The discussion will delve into crucial legislative frameworks such as the AI Act, Data Governance Act, Data Act, and the European Health Data Space. The objective is to provide clarity, mitigate additional burdens, and prevent redundancy. These acts collectively strive to establish an institutional framework for the seamless exchange of health data across Europe. Recognizing the significance of national health data agencies, they play a pivotal role in shaping a unified European Health Data Space. I will be speaking together with the Belgian minister of Health Frank Vandenbroucke, Prof. Dr. Sofie De Broe, managing director of the HDA and Andre Dekker who has been focusing on FAIR data sharing infrastructures. The topic of my presentation "Navigating the Shifting Landscape: Regenerative Health Data & AI Ecosystems in the Era of Digitalization". I will emphasize the importance of uninhibited information flow and the cultivation of open innovation ecosystems. Notably, the discussion will highlight the significant role of open-source AI in this context. #opensource #regenerativeai

🎉 Exciting news! Briya's Series A Funding🚀 #MedicalDataRevolution Our portfolio company, Briya, has just raised its Series A funding.  This is a game-changer as Briya will enable more data training for #GenAI and so will enable way more effective research - #drug_discovery and personalized #medicine are about to get a major upgrade 💊 Congrats to the Briya team. We're excited for what's ahead! David Lazerson | Guy Tish #MedicalData #HealthTech #HealthCareInnovation #DataSharing #MedicalDataPrivacy

"DatosX has solved an industry-wide problem and in doing so has removed the problematic choice many companies face: take a wild guess or spend huge amounts of money and time testing a digital health technology. With datosX’s expertise, connections, and partnerships across the ecosystem, “Now this is a problem that you can solve,” says Roberts." Thanks for the support and recognition StartUp Health. To explore how we could partner and generate the data you need to excel in 2024 and beyond, please do get in touch! #data #digitalhealth #evidence

Following up on my last post, today we're delving deeper into the theme of "Interdisciplinary Teams in Healthcare AI" in line with last week's #DMEA conference. Last week we addressed some challenges, and now we turn our attention to the factors that facilitate success! 🎓 Cross-Disciplinary Education: Enhancing the integration of healthcare and technical knowledge through targeted educational programs. 💻 Collaborative Platforms: Leveraging technology to enable better cooperation and information sharing across various fields. ✏️ Ethical AI Frameworks: Developing clear guidelines to promote the ethical use of AI in healthcare settings. 🗣 Patient Involvement: Involving patients in the creation process to ensure the solutions are tailored to their needs. 📝 Policy Advocacy: Pushing for policies that bolster cross-disciplinary work in AI-driven healthcare projects. 💡 Innovation Ecosystems: Fostering environments that support creative experimentation and innovation within established regulations. 💬 We invite you to join the discussion! Leave your comments below and if you’re interested in learning more, ask for our whitepaper by commenting "whitepaper." We’re eager to hear your insights! 🙏 Thanks to our digital health CxO Niklas Laasch for leading us through this! #HealthcareAI #InterdisciplinaryTeams #Innovation #AIinHealthcare #DMEAConference