Devices Data

AIQNET -Medical Data Ecosystem

All BioLAGO projects reflect the most important trends in the healthcare industry, above all digitalisation and artificial intelligence. In the AIQNET project, which is funded by the German Federal Ministry of Economics and Technology, BioLAGO is working with 15 partners, including Charité Berlin and Aesculap, to provide patients with the best possible therapies and to further improve medical technology products.

The aim of the project is to facilitate the implementation of the stricter EU regulations on the safety of medical technology products through digital tools. Artificial intelligence is used as a key technology. Medical data is to be made exchangeable and thus usable for research, diagnosis and treatment. In the project, a digital platform is being created that will enable users to use data-based applications in the health sector for their own purposes or to accelerate the development of new business areas and services. In this way, value creation is increased and vital medical technology products remain available. At the same time, AIQNET improves the individual treatment of patients, for example by identifying risk factors before surgery. This allows doctors to act in preparation instead of having to react to a complication.

The project is developing a digital ecosystem that integrates the analysis of treatment processes with artificial intelligence into everyday clinical practice and that will be available to all medical technology experts worldwide. BioRegio STERN Management GmbH is coordinating the project for the 16 funded partners and more than 40 associated partners. Together, they are developing innovative solutions that use artificial intelligence to enable the rapid collection and storage of clinical data.

What is unique about the project is that, in addition to medical technology companies, clinics can also benefit significantly. This is because all stakeholders are taken into account in the growing ecosystem, whether they are providers of applications or manufacturers of medical devices. Together, new strategies and business models can be developed to further advance the digitalisation of healthcare.

Further information HERE

Main focus

  • The requirements for reliable data to prove the safety and performance of medical devices are constantly increasing. In order to improve diagnosis and treatment, the consideration of data from clinical routine will be indispensable in the future.
  • However, the data protection-compliant collection, storage and analysis of clinical data encounters a shortage of specialists in industry and clinics, cost pressure, legal uncertainty and silo-like IT systems with low interoperability.
  • This is where the   project comes in, because epidemiological, clinical, paraclinical and radiological data can be analysed fully automatically with the help of artificial intelligence.
  • Following the awarding of the project idea in September 2019, the partners have now been in the implementation phase of the project since January 2020, which has set itself the goal of developing a digital ecosystem.  The AIQNET digital platform is intended to solve fundamental problems in healthcare and advance digitalisation.
  • AIQNET will offer the possibility of structuring medical data in an automated way and analysing it using artificial intelligence (AI) - by creating interoperability and ensuring relevant legal and ethical framework conditions. This offers clinics, but also medical technology companies, significant advantages and ultimately also significantly benefits patient care.

Project goals

The application potential of AI-supported data analysis is enormous. For example, hospitals can use the data for research and to improve diagnosis and therapy. Medical technology manufacturers, in turn, use the data for their legal obligations to evaluate the quality and performance of their products and within the framework of clinical studies.

The basis for this is a digital ecosystem to be developed together with our partners, which guarantees compliance with legal and ethical framework conditions through state-of-the-art architecture and security technologies.

To this end, the various requirements of the partners are to be worked out and implemented in a cloud-based platform. The platform is intended to enable the participants to use data-based applications and AI technologies in the health sector for their own purposes or to accelerate the development of new business areas and services.

AIQNET is part of the innovation competition "Artificial Intelligence (AI) as a Driver for Economically Relevant Ecosystems" launched by the German Federal Government, whose objective is to promote the digital transformation of the economy.

Further requirements of the consortium partners, including the development and integration of their own products, are to be taken into account in the implementation phase.

Become an associated partner

AIQNET  a consortium that won the German government's AI competition in 2019 as KIKS. The curated network of 16 funded and numerous associated partners is constituted of internationally established medical technology and healthcare companies.

AIQNET not only offers direct economic benefits, such as more efficient and faster data collection, which continuously improves products and thus generates competitive advantages, but also longer-term partnerships with customers and service providers.

Become an associated partner

Projektpartner

Partner Typ Kompetenzen
Berlin Cert
Prüf- und Zertifizierstelle für Medizinprodukte GmbH
Zertifizierungsstelle akkreditiertes Prüflabor für Medizinprodukte
B. Braun Melsungen AG Medizintechnikunternehmen führenden Hersteller von Medizintechnik- und Pharma-Produkten
BioRegio STERN Management GmbH Cluster Wirtschaftsentwickler für die Life-Sciences-Branche
BIOTRONIK SE & Co. KG Gesundheitsunternehmen Herz-Kreislauf-Erkrankungen
Charité – Universitätsmedizin Berlin Universitätsklinikum eine der größten Universitätskliniken Europas in Forschung, Lehre und Krankenversorgung aktiv
ExB Labs GmbH IT-Unternehmen Text Mining und Input Management
Eberhard Karls Universität Tübingen, BG Klinik - Siegfried Weller Institut Universitätsklinikum Diagnostik und Therapie von: Stoffwechselerkrankungen (u.a. Diabetes), Infektionen, Stammzellforschung
HWI pharma services GmbH Unternehmen Pharma-, Biotech- & Medtech-Branche, insbesondere für Wirkstoffe, Arzneimittel und Medizinprodukte
inomed Medizintechnik GmbH Medizintechnikunternehmen intraoperatives, neurophysiologisches Neuromonitoring
MedicalMountains GmbH Cluster Medizintechnik
RAYLYTIC GmbH IT-Unternehmen medizinischer Software für die Erfassung und Strukturierung medizinischer Daten sowie die Automatisierung klinischer Studien
TZM GmbH IT-Unternehmen Softwareentwicklung
Universitätsklinikum Leipzig Universitätsklinikum Innovationszentrum für Computerassistierte Chirurgie
Universitätsklinikum Jena Universitätsklinikum Lehre, Forschung und Versorgung
Universitätsklinikum Marburg Universitätsklinikum Lehre, Forschung und Versorgung

Contact

Eva Botzenhart-Eggstein

Project Manager

+49 (0)7531 – 921525 3

Funding