Adaptive Lösungsplattform zur Aktiven technischen Unterstützung beim Retten von Menschenleben

Competence CenterNext Generation Services
Prof. Dr.-Ing. Sahin Albayrak, Dipl.-Inf. Carsten Wirth
Partners:  Charité - Universitätsmedizin Berlin (Telemedizincentrum der Charité, Klinik für Anästhesiologie und operative Intensivmedizin), Berliner FeuerwehrCondat AGDr. med. Kurt Fontheim GmbHHiSolution AGTelematic Solutions International GmbH 


A German acronym which can be translated as follows:
adaptive solution platform for active technical support of saving lives in emergencies


The logistic challenges when facing a Mass Casualty Event are characterized by limited resources and the absence of timely and precise information.

The medical and logistic processes to handle such incidents are currently inadequately supported by communication and information technology:

  • emergency services are insufficiently provided with information about the overall situation
  • decision-making processes are barely documented
  • the quality of the medical care of injured depends on a variety of factors and is wherefore difficult to evaluate

This often results in delayed medical care for the individual and increases the risk of collective panic on-site.

Project overview

A technical goal of the project is the realization of an integrated modular Service-Platform which will ensure and accelerate the communication and the flow of data and information for rescue forces involved in a mass casualty event. The system should guarantee a high reliability and performance even in the case of widespread infrastructural damages and is wherefore planned as redundantly distributed system utilizing innovative intelligent network technologies. Specific quality indicators regarding emergency medical aid are developed and used as basis for an evaluation of the effects of it-supported triage, the application of telemedicine and the modified workflows in the technical and medical systems.
Furthermore the evaluation is focused on the usability in stress- and panic situations. The technical components of the developed system as well as the developed concepts will be evaluated continuously within simulations and practices during the whole project. In the end a large-scale exercise in a mass casualty event setting will show the potentials and benefits of the developed IT-system and concepts.

Areas of research in the project

DAI-Labor and its partners are working on the realization of an integrated Service-Platform which will ensure and accelerate the communication and the flow of data and information between on-site professional teams, staff, control center and hospitals as well as associated aid organizations and voluntary units (e.g. volunteer fire-fighters). This modular platform, which is redundantly distributed for the two areas of the local and strategic management, provides novel triage supporting services, an uninterrupted electronic documentation and recording, the dynamic resource management, strategic situation information and assessment as well as telemedical care and monitoring.

Moreover, important topics for the research activities within the project are the intelligent network technologies as part of the Service-Platform. The integration of self-organizing ad-hoc networks in the field of triage with mobile triage modules and self-organizing transmission networks, which extends warranty of the flow of data and information, is seen as promising approach.

Furthermore the solution needs to fulfill requirements derived from Human-Computer Interaction field. It has to guaranty usability at the best concerning time-critical and stress intensive circumstances. In this context DAI-Labor is researching new multimodal interaction concepts and user interfaces (UI). A special focus is set on the adaption of the UIs depending on fast changing conditions in a Mass Casualty Event and the different occupied roles of the units of the rescue forces (officer-in-charge, staff director, squad leader, emergency doctor et cetera). These interfaces will be realized in a prototypical way and tested as well as evaluated against reality in cooperation with rescue forces and finally within a large-scale exercise.