Programpunkter

The European Genomic Data Infrastructure (GDI) is dedicated to facilitate secure federated cross-border access to high-quality genomic and phenotypic data for research, personalized medicine and policy making. The presentation introduces the project and highlights the progress achieved by the GDI consortium, consisting of 24 countries, with a focus on the technical advancements.

Our vision is to shape the future of European healthcare through the transformative power of AI. We envision a healthcare landscape where innovative AI solutions seamlessly integrate with existing systems, enabling improved patient outcomes, enhanced healthcare delivery, and equitable access to quality care. By fostering collaboration, advancing research, and facilitating market access for trustworthy AI technologies, we strive to revolutionize healthcare and empower individuals and communities to lead healthier lives.Our mission is to accelerate the development and adoption of AI solutions in healthcare by providing a cutting-edge testing and experimentation facility. We are dedicated to creating an environment that enables AI developers, researchers, and industry stakeholders to collaborate, innovate, and overcome the challenges of integrating AI into the healthcare ecosystem. Through rigorous evaluation, adherence to regulatory requirements, and a focus on ethical and societal aspects, we aim to ensure the safe, effective, and responsible use of AI in healthcare settings.

HL7 Europe has created guidelines for opening access to health data to patient-facing apps. These guidelines propose practical and prioritized steps towards a rich ecosystem of apps that empower patients in becoming more active participants in their own health care, while guaranteeing safety.

During the spring of 2024 the EU Commission will most probably decide on the final version of the European Health Data Space, and also the timeline for implementation. The Centre for Health Data (CHD), which is part of Region Stockholm coordinates requests for health data for research and innovation purposes. This presentation will describe barriers and possibilities with providing health data during the current system, and how the EHDS may impact regional work with health data provision. 

Artificial Intelligence has become the way of exceeding beyond the human limitations and healthcare faces a new era of technology. The potential for AI-based medical devices is immense, but a challenging field to navigate. This presentation, based on a recent empirical study, gives insight on the common challenges faced by companies developing AI medical devices, and provide strategies on how to effectively overcome these challenges.

Having finished the Vinnova project on diabetes and moved on to the system demonstrators and CRANE PCP project, we give an update on the MyData operators and Web3 technologies in Healthcare, the formation of nxd.foundation and its governance.

Description of the experience of setting up the French Health DataHubPresentation of progress, challenges and remaining work for the HealthData@EU pilot project

Pharmaceutical industry continues to evolve, the utilization of comprehensive health data has become pivotal in shaping the future of drug discovery. This talk delves into the multifaceted challenges associated with harnessing the potential of extensive human cohort datasets. Join us for an insightful exploration that aims to inspire thoughtful discourse, foster collaboration, and propel the industry towards a future where health data becomes an invaluable asset in the pursuit of groundbreaking medical discoveries.

There is a big need for Swedish solutions to healthcare challenges around the world. What is going on within digital health in Germany, France, Spain, United Kingdom and more? Tune in to this session and learn more!  

Modern health information systems in healthcare are a prerequisite for the transformation of healthcare. They enable patient participation, decision support and real-time data sharing. Many Nordic countries, like Sweden, have recently introduced new EHR systems or are planning to do so. The aim of this session is to share lessons and insights on both implementation and use of health data. What can we learn from each other and what should be coordinated now that half of Sweden is changing EHR systems? What needs to be done nationally? What will be the next step? 

Norway, Sweden and Finland may be considered as forerunners in adopting openEHR and moving towards open ecosystems. Cross-organizational data sharing has historically been the objective in all Nordic countries. The needs to share data resulted in national document-based data sharing infrastructures in all Nordic countries. That was, however, somewhat limited and the need for complementary structured sharing has started to emerge. In the Nordics the dominant EHR market leaders chose openEHR as their own data model and started to modernize their solutions as their own internal decision. The Nordic experience shows that in order to build a true ecosystem, it is important to increase awareness among all stakeholders. This lecture discusses the Nordic drivers, benefits and challenges of openEHR as well as the ways how you can make the openEHR project successful.