CRS medical as consortium leader of the HERMIQS funding project

CRS medical GmbH wins another innovative research project together with the KardioIQ research group. The aim of the HERMIQS (Heart Emergency Rescue Management IQ System) project is to provide future support for medical risk assessment and diagnostics in the field of emergency medicine. In future, emergency services and emergency physicians will be supported in their decision-making by an intuitive feedback system, for example when it comes to choosing the most suitable destination hospital. The already established MedGate platform will be expanded to include a module based on artificial intelligence (AI) for the rapid algorithmic evaluation of ECG recordings. The project is funded by the Hessian Ministry for Digital Strategy and Development as part of the “Distr@l” funding program.

CRS medical GmbH, manufacturer and service provider for medical devices and medical products, and the interdisciplinary, cross-university research group KardioIQ are involved in the project as consortium leaders. It is made up of the Cognitive Information Systems (CIS) working group led by business informatics specialist Prof. Dr. rer. nat. Michael Guckert from THM Mittelhessen (THM) and the Biomarker Research working group led by cardiologist Prof. Dr. med. Till Keller from Justus Liebig University (JLU).
 

The specific know-how of the project participants is combined in the HERMIQS project.

CRS medical has been providing services on behalf of large medical technology companies since 2004 and offers its own software and hardware products. With the help of CRS's own telemetry software solutions MedGate, patient data is transmitted promptly to hospitals and medical specialists and made available without major time delays. The CIS working group conducts applied research and development into artificial intelligence, machine learning and IT security. The informatics approaches and modeling are used in areas such as medicine (eHealth) and biology (bioinformatics). The Biomarker Research working group headed by Prof. Dr. med. Till Keller conducts research in particular in the areas of “Use of biomarkers in algorithms for risk stratification and diagnosis” and “Artificial intelligence (AI) / machine learning (ML) for the interpretation of biomarker signals as part of clinical algorithms”.
 

In future, HERMIQS will support emergency services in their decision-making during operations

Digitalization and the associated potential for process optimization is a desirable development, especially in emergency medicine, an area in which quick decisions can be vital. In the HERMIQS project, the already established MedGate platform from CRS medical is being expanded with the help of AI to enable the automatic detection of acute pathologies relevant in emergency operations. For example, patient data is stored on the MedGate platform following an ECG in an emergency, which can be retrieved directly by the hospital. This makes it possible to derive and prepare individual therapies for patients in advance. In the HERMIQS project, this platform is being expanded to include an automated AI-based analysis algorithm for ECGs, which in future will also support the emergency services and emergency physicians in their decision-making, for example when it comes to selecting the most suitable target hospital. Valuable time can be saved by forwarding the patient data to the target clinic. The receiving clinic can thus prepare a therapy that is individualized for this patient. AI methods have been proven to be able to achieve and in many cases even exceed the precision of human experts in specific tasks, e.g. analyzing and interpreting medical images or data series. By integrating AI models into high-performance system components, a dialog between all players in a typical emergency scenario can be enabled in near real time.

The project is scheduled to run for a total of three years and is funded by the Ministry for Digital Strategy and Development as part of the “Distr@l” funding program under funding line 2A with a funding amount of EUR 481,045.00 from funds provided by the State of Hesse.