1. project participants
The project consortium is made up of the manufacturer and service provider for medical devices and medical products CRS medical GmbH as consortium leader and the interdisciplinary cross-university research group KardioIQ consisting of the Cognitive Information Systems (CIS) working group of business informatics specialist Prof. Dr. rer. nat. Michael Guckert (THM) and the Biomarker Research working group of cardiologist Prof. Dr. med. Till Keller (JLU).
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 as well as 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".
2. digital innovation/technology
Digitalization and the associated potential for process optimization is a desirable development, particularly in emergency medicine, an area in which quick decisions can be vital. In the HERMIQS (Heart Emergency Rescue Management IQ System) project, artificial intelligence will be used to automatically identify acute pathologies that are relevant in emergency operations. 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). HERMIQS will integrate the AI models into high-performance system components and thus enable a dialog between all actors in a typical emergency scenario in near real time.
3. Planned area of application
The aim of the HERMIQS project is to extend the MedGate Online platform of CRS medical with an automated AI-based analysis algorithm for ECGs. This analysis will be available to emergency services and emergency physicians via an intuitive feedback system and support them in decision-making (e.g. selecting the most suitable target hospital). This can save valuable time at the receiving hospital for the benefit of the patient.
The project will run for three years. It is funded by the Ministry for Digital Strategy and Development as part of the "Distr@l" funding program, funding line 2A, with funds from the state of Hesse.
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