Digital ecosystem benefits patients and hospitals

Data-based healthcare – AIQNET at DMEA 2022 in Berlin

(Stuttgart/Leipzig/Berlin) – AIQNET will this year be making its debut at DMEA, Europe’s leading event for digitalisation in the healthcare sector, which is taking place from 26 to 28 April 2022 at Messe Berlin. This digital ecosystem is being showcased in collaboration with BioRegio STERN Management GmbH, which is coordinating the project, along with the cluster organisations BioLAGO e.V. and MedicalMountains GmbH. Various project partners – such as BG Trauma Clinic T?bingen, ExB Research & Development GmbH from Leipzig and TZM GmbH from G?ppingen – and the consortium leader, RAYLYTIC GmbH from Leipzig, are offering an insight into the development of an open digital ecosystem that will in future make it possible to share medical data with the help of artificial intelligence (AI), thereby enabling the data to be used for research, diagnostics and treatment. At DMEA, the experts will be demonstrating AIQNET’s significant added value for patients and hospitals alike.

AIQNET contacts at DMEA, Hall 4.2, Stand D-114

Prof. Andreas N?ssler, director of the Siegfried Weller Institute for Trauma Research and representative of BG Trauma Clinic T?bingen
„AIQNET is committed to data-based healthcare. Digitalisation requires an interoperable infrastructure, though. That is the only way for different systems to share medical and clinical data. AIQNET offers the opportunity to facilitate real progress for the benefit of patients. Every hospital amasses huge volumes of data and stores it in various archive systems, often in an unstructured way. For example, patients come from their doctor with a letter on paper, test results are provided in PDF format, laboratory findings are added later on and so on. AIQNET is based on the idea of a digital ecosystem that collects medical data, analyses it using AI – artificial intelligence – structures it logically and makes it accessible to the doctors treating patients.“

Bastian Mazzoli, Solution Manager Medical Connectivity, TZM GmbH, G?ppingen
„We’re showing how sharing data between medical devices and platforms such as AIQNET works in practice. For many years now, we’ve been developing software for the sharing of data between medical data sources, regardless of the medical documentation system being used. In the AIQNET project, we can really help overcome system boundaries and make medical data accessible, for example by combining all kinds of devices on a central monitor. The platform also enables users to configure such equipment in the clinics remotely or launch new drivers.“

Frank Trautwein, AIQNET consortium leader and Managing Director of RAYLYTIC GmbH, Leipzig
„The objective is to use AI, big data and automation to improve patient care. AIQNET is designed to significantly reduce the workload of hospital staff by fully automating data capture and transfer routines. What’s more, laboratory, radiology, case history, diagnostic and treatment data is made accessible via a single system. We also always factor in legal and ethical considerations. One special feature of AIQNET is the fact that all stakeholders – from hospitals to industry – are involved in developing the ecosystem. That also includes medtech companies, who will find it much easier to meet their legal obligation to conduct clinical trials and monitor products on an ongoing basis. Suppliers of healthcare applications can use the infrastructure that has been created to develop their own data-based solutions in no time at all, while also complying with stringent data protection and data security legislation. Further partners are welcome to join us at any time! After all, the added value of becoming part of the ecosystem lies in the large number of applications made possible by AIQNET. Hospitals in particular will benefit from enhanced efficacy and the possibility of new business models.“

Lars Thielke, Head Of Sales & Marketing, ExB Research & Development GmbH, Leipzig
„We are experts in using AI to process documents. ExB extracts the really relevant information such as patient data, diagnoses and procedures from assessments, surgical and doctor’s reports and care records, and also the key details from statutory and private health insurance invoices. In this way, unstructured or semi-structured content can be transformed into valuable, structured and actionable insights for follow-up processes and all kinds of target applications. Making it possible to use the knowledge that is available in patient files is of huge medical and economic value. Patient histories contain more comprehensive information and process efficiency also improves. New exploratory analyses of the data obtained lead to further findings and questions relating to clinical trials and resulting treatment strategies. Capturing and structuring content and the data this provides are also relevant, regardless of the clinical context. This paves the way for more precise and targeted developments in pharmaceutical and medical technology. Health insurance companies enjoy faster and better invoice processing, with insurers finding it easier, for example, to assess and evaluate the risk of accident consequences by analysing case files. And, ultimately, the patient or customer always benefits from these improvements.“

The AIQNET digital ecosystem:
DMEA, Messe Berlin, Hall 4.2, Stand D-114, 26 to 28 April 2022

Contact at the event:
Anja Reutter, Project Manager, BioRegio STERN Management GmbH, +49 711 870 354 23

Keywords:BioRegio STERN Management GmbH, Anja Reutter, AIQNET, DMEA Berlin, digital ecosystem, medical data, AI, artificial intelligence