Programpunkter

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

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.

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.

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. 

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.

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.

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.

Patient Reported Outcome Measures (PROMs) and patient centred care: It aint what you do, it’s the way that you do it
Advancing Person Centered Models of Care in a Value-Based System: What Will It Take?

Summary of what joint action TEHDAS accomplished 2021-2023 and how Member States are preparing for the harmonised implementation of EHDS with TEHDAS2

For detailed information see https://gcpcc.org/state-of-science/

A broad spectrum of health-focused communities are dependent on, as well as expecting more streamlined and effective solutions for secondary use of health data: rare disease and cancer research, health services research and public health, preparedness and response to health threats, to name a few.  With digitalization being both a priority and a success story in the Nordic region, the VALO project aims to deliver proof of how value from Nordic (digital) health data can be achieved and enhanced.

This presentation explores the complexities and costs associated with implementing new systems in healthcare, focusing on the challenges of migrating patient data and maintaining interoperability between systems. It proposes a novel approach using lightweight FHIR messages and OpenEHR standards to streamline data integration and preserve the integrity of electronic patient records. By adopting these methods, healthcare providers can enhance patient care, reduce clinical risks, and facilitate research, ultimately leading to more efficient and patient-centric healthcare solutions.