Details
| Original language | English |
|---|---|
| Pages (from-to) | 1157-1179 |
| Number of pages | 23 |
| Journal | Intelligent Decision Technologies |
| Volume | 18 |
| Issue number | 2 |
| Publication status | Published - 7 Jun 2024 |
Abstract
Today, access to real-time information from emergency scenes is still limited for emergency medical services, fire departments, and their professionals, also called first responders. Emergency Response Information Systems (ERISs) have recently been discussed in the literature as a potential solution to this problem. Using the Design Science Research (DSR) paradigm, we present a novel 5G-enabled ERIS (5G-ERIS) design that leverages 5G mobile network technologies to offer diverse real-time information. We provide a user-centered examination of design specifications for a 5G-ERIS based on a smart city digital twin. Based on literature and qualitative expert interviews with several first responders in Germany, we derive how emergency medical services and fire departments can improve their decision-making with this 5G-ERIS. Based on existing 5G application architectures, we structure our identified design specifications into four system layers. Our findings provide an essential knowledge base for the successful development, deployment, and long-term use of 5G-ERISs. We stimulate a broader discussion on the design objectives and specifications of 5G-ERISs in theory and practice.
Keywords
- 5G, ERIS, design science research, digital twin, emergency
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Vision and Pattern Recognition
Sustainable Development Goals
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In: Intelligent Decision Technologies, Vol. 18, No. 2, 07.06.2024, p. 1157-1179.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Future rescue management
T2 - Design specifications for a 5G-enabled emergency response information system
AU - Bäßmann, Felix Niklas
AU - Lier, Sarah Kristin
AU - Werth, Oliver
AU - Krage, Astrid
AU - Breitner, Michael H.
N1 - Publisher Copyright: © 2024 – IOS Press. All rights reserved.
PY - 2024/6/7
Y1 - 2024/6/7
N2 - Today, access to real-time information from emergency scenes is still limited for emergency medical services, fire departments, and their professionals, also called first responders. Emergency Response Information Systems (ERISs) have recently been discussed in the literature as a potential solution to this problem. Using the Design Science Research (DSR) paradigm, we present a novel 5G-enabled ERIS (5G-ERIS) design that leverages 5G mobile network technologies to offer diverse real-time information. We provide a user-centered examination of design specifications for a 5G-ERIS based on a smart city digital twin. Based on literature and qualitative expert interviews with several first responders in Germany, we derive how emergency medical services and fire departments can improve their decision-making with this 5G-ERIS. Based on existing 5G application architectures, we structure our identified design specifications into four system layers. Our findings provide an essential knowledge base for the successful development, deployment, and long-term use of 5G-ERISs. We stimulate a broader discussion on the design objectives and specifications of 5G-ERISs in theory and practice.
AB - Today, access to real-time information from emergency scenes is still limited for emergency medical services, fire departments, and their professionals, also called first responders. Emergency Response Information Systems (ERISs) have recently been discussed in the literature as a potential solution to this problem. Using the Design Science Research (DSR) paradigm, we present a novel 5G-enabled ERIS (5G-ERIS) design that leverages 5G mobile network technologies to offer diverse real-time information. We provide a user-centered examination of design specifications for a 5G-ERIS based on a smart city digital twin. Based on literature and qualitative expert interviews with several first responders in Germany, we derive how emergency medical services and fire departments can improve their decision-making with this 5G-ERIS. Based on existing 5G application architectures, we structure our identified design specifications into four system layers. Our findings provide an essential knowledge base for the successful development, deployment, and long-term use of 5G-ERISs. We stimulate a broader discussion on the design objectives and specifications of 5G-ERISs in theory and practice.
KW - 5G
KW - ERIS
KW - design science research
KW - digital twin
KW - emergency
UR - http://www.scopus.com/inward/record.url?scp=85205599245&partnerID=8YFLogxK
U2 - 10.3233/IDT-230476
DO - 10.3233/IDT-230476
M3 - Article
VL - 18
SP - 1157
EP - 1179
JO - Intelligent Decision Technologies
JF - Intelligent Decision Technologies
SN - 1875-8843
IS - 2
ER -