Rescue and Emergency Medicine, Care Research

In terms of content, the focus is currently on the following topics (list not final):

  • Cardiopulmonary resuscitation
    • e.g. influence of first-aid alarm systems, significance of pre-existing conditions for the prognosis of circulatory arrest, concepts for training students in resuscitation
  • Telemedicine in emergency services
    • e.g. benefits of teleconsultation for various tracer diagnoses, use of the tele-EMS physician for the qualification of emergency physicians and paramedics in individual care or in the event of major damage
  • Interhospital transfer
    • e.g. benefit of telemedical concepts, outcome in interhospital transfer within the QUIT-EMR trial (quality and efficacy of inter-clinical critical care transport in the Euregion Meuse-Rhine: an international, prospective, observational, multicentre study)

In the following projects we are currently involved as partner or associated partner.

The Project “preRESC“ – data based support for efficient and effective planning of resources in rescue services” is a new, innovative research project. It is funded by the Ministry of Economics, Innovation, Digitalisation and Energy, State of North Rine-Westphalia within the funding programme “Digitale Modellregionen in NRW” (engl.: Digital model regions in NRW).

A central goal of this project is assurance of widespread emergency care and adherence to the legal response time within the City of Aachen. To reach this goal, challenges will be analysed, potentials will be identified, and an appropriate algorithm will be developed. This will be realised with a software prototype which will allow for validation of the current demand planning and an optimised tactical-operative planning in favour of a more efficient disposition of resources and a best possible quality of care.

The project “preRESC” is coordinated by the umlaut telehealthcare GmbH. Apart from the project partner professional fire department of Aachen, which is leading two work packages (AP1: literature analyse, extraction of evident analysis factors, AP5: Data acquisition and extraction), the umlaut solutions GmbH is also involved as a project partner.

Click here to find further information about our research project.