Luxembourg launches Dataspace 4 Health:
A Pioneering Dataspace and Governance
Framework for Secure and Compliant
Health Data Exchange
On May 25th 2024 the official project launch of Dataspace 4 Health (Dataspace4Health) was announced, a groundbreaking open ecosystem designed to revolutionise secure and compliant health data exchange in the country and beyond. This innovative initiative aims to transform healthcare by leveraging the power of data while fully adhering to EU regulations and Gaia-X standards. It aligns perfectly to the national and European digital strategies. This collaborative project is led by NTT DATA, Hôpitaux Robert Schuman (HRS), Luxembourg Institute of Health (LIH), the University of Luxembourg, Agence eSanté, Luxembourg National Data Service (LNDS) and is co-financed by the Ministry of Economy of Luxembourg as part of Luxembourg’s national Gaia-X strategy.
The Why
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The project is motivated by the need for a new approach to health data sharing that respects the GDPR and the patients' rights.​
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Currently health data is often siloed, fragmented and underutilized, which limits the potential for innovation and research.
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The project will explore how to use Gaia-X as a European framework for data spaces that ensures data protection, security and interoperability.
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Dataspace4Health will also demonstrate the benefits of data-driven innovation and AI for healthcare and research, such as improving diagnosis, treatment, and prevention of diseases, enhancing patient outcomes and quality of life, and advancing scientific knowledge and discovery. ​​
The Solution
This collaborative project is led by NTT DATA, Hôpitaux Robert Schuman (HRS), Luxembourg Institute of Health (LIH), the University of Luxembourg, Agence eSanté, Luxembourg National Data Service (LNDS) and is co-financed by the Ministry of Economy of Luxembourg as part of Luxembourg’s national Gaia-X strategy.
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The project aims to align medical and political key healthcare stakeholders and define the future of data exchange for Luxembourg based on European Regulation.
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It aligns perfectly to the national and European digital strategies. Similar to the French (Health Data Hub) and German initiatives (Health-X Dataloft), DS4H leverages European Regulation in regards to data spaces and
Gaia-X to build the technical foundation for regulated Health Data Exchange.
This visionary project paves the way for secure and compliant health data exchange, ultimately leading to a healthier future for all.
Key Factors
Innovation
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Value based healthcare
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Digital Health
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Health policies towards health data sharing and use
High-value based health systems
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Digital Health
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Personlized and precision medecine
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Self learning systems
Digital, Data, and AI
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Digital data systems
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Data driven value chain
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Soverainty: Data, Services, and Operations
Ushering in a New Era of Healthcare
The Dataspace4Health project will bring numerous advances to Luxembourg's healthcare landscape. One of the key benefits is enhanced patient care, which includes improved diagnoses and treatments, better understanding of diseases, and effective preventive measures. Additionally, the platform will foster research and innovation by providing secure access to health data, enabling research that will ultimately lead to improved healthcare outcomes. Furthermore, the platform will help build a connected ecosystem by establishing a secure and efficient layer for data sharing across institutions, fostering collaboration and advancements.
The Dataspace4Health project has several key highlights:
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It is a Gaia-X Lighthouse candidate in healthcare for Europe, setting the standard for secure and compliant health data exchange across the continent. A concept fully supporting the goals of the international precision health initiative Clinnova, coordinated by LIH.
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The platform is a collaborative effort led by a consortium of domain and industry leaders and open to onboard additional members. Thirdly, it will be exploring and unlocking new medical treatments through data and AI.
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The built ecosystem is use-case driven and has been validated through initial use cases in diabetes and oncology, paving the way for future applications in other healthcare sectors.
Use Cases
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Diabetes affects over half a billion people globally, and this number is projected to increase to 783 million by 2045. Diabetes is not a uniform disease (there are type 1, type 2…), causing different complications that need individualized care. AI is seen as a potential technology to prevent them. A decision support system based on AI that can prevent diabetes complications might be a key step in the treatment of Diabetes. In one use-case, that reliable decision support system uses thousands of anonymised patient records linked to a Digital Twin of patients from LIH to provide personalised treatment.
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Cancer is the second leading cause of death in many countries, after cardiovascular diseases. Every year, cancer affects tens of millions of people worldwide, and more than half of them die from it. While hospitals are in charge of diagnosis and therapy, researchers bring novel solutions, treatments, and insights on disease mechanisms to the oncology field. The primary goal of this use-case is to implement a precision oncology program and a federated data architecture that enables better data interoperability and exchange between healthcare providers and research institutions.