The digital platform for data-driven healthcare
The requirements for robust data from medical devices are constantly increasing. In order to improve diagnoses and treatments, the consideration of data from clinical routine will be essential 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 siloed IT systems with low interoperability.
This is where the AIQNET project came in, developing a digital ecosystem that enables the use of medical data across sectors and in compliance with data protection laws. The acquisition, structuring and analysis of medical data was largely automated with the help of artificial intelligence (AI). The project thus solves three central problems that inhibit progress in medical technology and healthcare as a whole:
- While medical data is urgently needed by researchers, physicians, and industry for research purposes and for compliance with regulatory requirements, it is distributed across many systems and is rarely accessible in its entirety in practice.
- Legal usability is not given for a large part of the medical data due to the low level of patient participation and non-transparent processes.
- The poor interoperability of IT systems in the health sector and the only sporadic availability of structured data have so far prevented the widespread use of health data for research and evidence-based medicine for technical reasons.
Medical technology companies, hospitals and software developers benefit from AIQNET through the universal use of structured medical data, independent of systems, technologies and organizations. In addition to regulatory requirements, AIQNET solves these three core problems through the collaborative development of a digital ecosystem.
Diverse stakeholder requirements were identified and implemented in a cloud-based platform. This is designed to enable participants to use data-based applications and AI technologies in the healthcare sector for their own purposes or to accelerate the development of new business areas and services.
AIQNET enables additional partners to easily integrate their own data-driven applications and access the different user groups: Patients, clinics, physicians, research and industry.
The platform is also available to interested parties after the end of the project.
History
After the awarding of the project idea in September 2019, the implementation phase followed in January 2020. Started under the project acronym "KIKS", it became "AIQNET". AIQNET was part of the innovation competition "Artificial Intelligence (AI) as a Driver for Economically Relevant Ecosystems" launched by the German government, whose objective is to promote the digital transformation of the economy.
Project partners
- Raylytic GmbH (consortium leader),
- Aesculap AG, a subsidiary of B. Braun Melsungen AG,
- Berlin Cert GmbH,
- BioLago e.V.,
- BioRegio STERN Management GmbH,
- BIOTRONIK SE & Co. KG,
- Charité - University Medicine Berlin,
- Eberhard Karls University of Tübingen, Faculty of Medicine (executing agency: BG Klinik Tübingen),
- ExB Research & Development GmbH,
- HWI pharma services GmbH,
- inomed Medizintechnik GmbH,
- MedicalMountains GmbH,
- TZM GmbH,
- University Hospital Jena (Waldklinik Eisenberg),
- University of Leipzig (Innovation Center Computer Assisted Surgery (ICCAS))
- University Hospital Magdeburg
For more important information about the project, please visit: https://aiqnet.eu/