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Proceedings Paper

IMPRESS: medical location-aware decision making during emergencies
Author(s): I. Gkotsis; G. Eftychidis; G. Leventakis; M. Mountzouris; D. Diagourtas; A. Kostaridis; R. Hedel; A. Olunczek; S. Hahmann
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Paper Abstract

Emergency situations and mass casualties involve several agencies and public authorities, which need to gather data from the incident scene and exchange geo-referenced information to provide fast and accurate first aid to the people in need. Tracking patients on their way to the hospitals can prove critical in taking lifesaving decisions. Increased and continuous flow of information combined by vital signs and geographic location of emergency victims can greatly reduce the response time of the medical emergency chain and improve the efficiency of disaster medicine activity. Recent advances in mobile positioning systems and telecommunications are providing the technology needed for the development of location-aware medical applications. IMPRESS is an advanced ICT platform based on adequate technologies for developing location-aware medical response during emergencies. The system incorporates mobile and fixed components that collect field data from diverse sources, support medical location and situation-based services and share information on the patient’s transport from the field to the hospitals. In IMPRESS platform tracking of victims, ambulances and emergency services vehicles is integrated with medical, traffic and crisis management information into a common operational picture. The Incident Management component of the system manages operational resources together with patient tracking data that contain vital sign values and patient’s status evolution. Thus, it can prioritize emergency transport decisions, based on medical and location-aware information. The solution combines positioning and information gathered and owned by various public services involved in MCIs or large-scale disasters. IMPRESS solution, were validated in field and table top exercises in cooperation with emergency services and hospitals.

Paper Details

Date Published: 6 September 2017
PDF: 12 pages
Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104440S (6 September 2017); doi: 10.1117/12.2279138
Show Author Affiliations
I. Gkotsis, KEMEA (Greece)
G. Eftychidis, KEMEA (Greece)
G. Leventakis, KEMEA (Greece)
M. Mountzouris, Satways Ltd. (Greece)
D. Diagourtas, Satways Ltd. (Greece)
A. Kostaridis, Satways Ltd. (Greece)
R. Hedel, Fraunhofer Institute for Transportation and Infrastructure Systems (Germany)
A. Olunczek, Fraunhofer Institute for Transportation and Infrastructure Systems (Germany)
S. Hahmann, Fraunhofer Institute for Transportation and Infrastructure Systems (Germany)

Published in SPIE Proceedings Vol. 10444:
Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017)
Kyriacos Themistocleous; Silas Michaelides; Giorgos Papadavid; Vincent Ambrosia; Gunter Schreier; Diofantos G. Hadjimitsis, Editor(s)

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