Data room

Data form the foundation of modern evidence-based medicine. Technical and social innovation requires data. Based on data, companies develop medicines and medical devices, while researchers improve treatment methods and therapeutic approaches. 

Data form the foundation of modern evidence-based medicine. Technical and social innovation requires data. Based on data, companies develop medicines and medical devices, while researchers improve treatment methods and therapeutic approaches. 

Centre of Excellence in Digital Health and Personalised Medicine - Clinnova

Funding period: November 1, 2021 - December 31, 2024

Brief description: The international Clinnova project focuses on transforming the use of personalized data into direct health benefits for patients and citizens. Complex data integration and applied artificial intelligence (AI) are being integrated into the stratification of patients with complex chronic diseases and in pandemic situations. With a focus on data quality and standardization, the aim is to develop effective AI algorithms that can support physicians in prescribing the right medication for individual patients at the right time.

Objectives/outcomes: Development of integrated, digital, and AI-supported healthcare solutions within a European Health Data Space.

Project partners: Luxembourg Institute of Health, Centre Hospitalier de Luxembourg, Hopitaux Robert Schuman, CNS D'GESONDHEETSKEESS, Fonds National de la Recherche Luxembourg, Le Gouvernement Du Grand-Duché De Luxembourg, Ministère De La Culture, De L'Enseignement Supérieur Et De La Recherche, OHJ, CHRU Nancy, iA, Les Hopitaux Universitaires de Strasbourg, ihu Strasbourg, Medical Faculty of the University of Basel, University Medical Center Freiburg, University Medical Center Mannheim, German Research Center for Artificial Intelligence GmbH, Miracum

Clinnova is an international project that aims to convert the use of personalized data into direct health benefits for patients and citizens. Complex data integration and applied artificial intelligence (AI) are integrated into the stratification of patients with complex chronic diseases and in pandemic contexts. The potential of complex data integration and the integration of AI will fundamentally change the biomedical sector in the future, providing new opportunities for healthcare as a whole.

The two core partners in Baden-Württemberg – University Medical Center Mannheim and University Medical Center Freiburg – contribute their expertise to jointly establish this cross-regional health initiative together with other international partners from France and Luxembourg. The Consortium for Cross-Border Digital Health Innovations (GDGI-BW) focuses on concrete, disease-specific programs as use cases (inflammatory bowel diseases, rheumatic diseases, and multiple sclerosis) to consolidate and standardize patient data, data management, and AI-driven data analyses.

To achieve this, six technology platforms are being set up, which are critical to the systematic implementation of innovative, data-driven solutions in healthcare. The consortium will build on structures and concepts that already exist or are being developed at various locations.

The competence and technology platforms are as follows:

  1. Legal and Regulatory Support (LRSP): Legal and regulatory expertise
  2. Translational Patient Data Acquisition (TRP): Recruitment of patient data
  3. Trusted and Secure Data Management (TSDP): Secure and trusted data management structures
  4. Deep Data Analysis (DDAP): Analysis of high-throughput data
  5. Disease Modelling and Stratification Platform (DMSP): Platform for disease modelling and stratification
  6. Clinical Decision Support and Solution Platform (CDSP): Clinical decision support and solution platforms

With a strong focus on data quality and standardization, the aim is to develop effective AI algorithms that can help physicians prescribe the right medication to the right patient at the right time. In addition, such a cross-border digital health initiative will enable the participating partners to work together in a better prepared and more coordinated manner in the event of future pandemic.

Further information about the project are available on the project website: https://www.clinnova.eu

Project partners

CLINNOVA
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

Funding organization

The project is funded by the Baden-Württemberg Ministry of Science, Research, and the Arts.