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An advanced decision support system for European disaster management : the feature of the skills taxonomy

Rauner, Marion S.; Niessner, Helmut; Odd, Steen LU ; Pope, Andrew; Neville, Karen; O’Riordan, Sheila; Sasse, Lisa and Tomic, Kristina (2018) In Central European Journal of Operations Research 26(2). p.485-530
Abstract

Mankind has faced a huge increase in severe natural and man-made disasters worldwide in the last few years. Emergency responders on a strategic, tactical, and operational level can be assisted by decision support systems (DSS) to enhance disaster preparedness, response, and recovery. Policy makers are in need of an advanced, resilient and integrated incident command and control systems for emergency responders that incorporates health care-related features. To address this need, a DSS was developed in the European Union (EU) project named Securing Health.Emergency.Learning.Planning (S-HELP). Improving the health care delivery process through health care-related DSS features, the identification of key emergency responders and their... (More)

Mankind has faced a huge increase in severe natural and man-made disasters worldwide in the last few years. Emergency responders on a strategic, tactical, and operational level can be assisted by decision support systems (DSS) to enhance disaster preparedness, response, and recovery. Policy makers are in need of an advanced, resilient and integrated incident command and control systems for emergency responders that incorporates health care-related features. To address this need, a DSS was developed in the European Union (EU) project named Securing Health.Emergency.Learning.Planning (S-HELP). Improving the health care delivery process through health care-related DSS features, the identification of key emergency responders and their associated tasks performed in preparedness, response, and recovery-related interventions is absolutely necessary. Thus, we establish a skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” to interlink key emergency interventions/tasks with main national emergency responders supported by international emergency responders with a special focus on the EU. Furthermore, we provide an overview of which key emergency interventions/tasks can be covered by EU Civil Protection Modules by incorporating availability, start of operation, self-sufficiency, and operation time. This skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” improves the interoperability of emergency responders when they cope with major disasters such as mass flooding, chemical spills, and biological-hazards policy scenarios that impact on health care. In the future, operation research models related to fields such as humanitarian logistics or disease control could be incorporated into or benefit from the S-HELP DSS.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Decision support systems, Disaster management, Emergency management interventions, Emergency management responders, EU Civil Protection Modules, Skills taxonomy
in
Central European Journal of Operations Research
volume
26
issue
2
pages
485 - 530
publisher
Springer Verlag
external identifiers
  • scopus:85043677264
ISSN
1435-246X
DOI
10.1007/s10100-018-0528-9
language
English
LU publication?
yes
id
956d8d37-f598-4cd2-b511-e94ce457292e
date added to LUP
2018-03-27 10:37:48
date last changed
2019-08-14 04:13:03
@article{956d8d37-f598-4cd2-b511-e94ce457292e,
  abstract     = {<p>Mankind has faced a huge increase in severe natural and man-made disasters worldwide in the last few years. Emergency responders on a strategic, tactical, and operational level can be assisted by decision support systems (DSS) to enhance disaster preparedness, response, and recovery. Policy makers are in need of an advanced, resilient and integrated incident command and control systems for emergency responders that incorporates health care-related features. To address this need, a DSS was developed in the European Union (EU) project named Securing Health.Emergency.Learning.Planning (S-HELP). Improving the health care delivery process through health care-related DSS features, the identification of key emergency responders and their associated tasks performed in preparedness, response, and recovery-related interventions is absolutely necessary. Thus, we establish a skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” to interlink key emergency interventions/tasks with main national emergency responders supported by international emergency responders with a special focus on the EU. Furthermore, we provide an overview of which key emergency interventions/tasks can be covered by EU Civil Protection Modules by incorporating availability, start of operation, self-sufficiency, and operation time. This skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” improves the interoperability of emergency responders when they cope with major disasters such as mass flooding, chemical spills, and biological-hazards policy scenarios that impact on health care. In the future, operation research models related to fields such as humanitarian logistics or disease control could be incorporated into or benefit from the S-HELP DSS.</p>},
  author       = {Rauner, Marion S. and Niessner, Helmut and Odd, Steen and Pope, Andrew and Neville, Karen and O’Riordan, Sheila and Sasse, Lisa and Tomic, Kristina},
  issn         = {1435-246X},
  keyword      = {Decision support systems,Disaster management,Emergency management interventions,Emergency management responders,EU Civil Protection Modules,Skills taxonomy},
  language     = {eng},
  number       = {2},
  pages        = {485--530},
  publisher    = {Springer Verlag},
  series       = {Central European Journal of Operations Research},
  title        = {An advanced decision support system for European disaster management : the feature of the skills taxonomy},
  url          = {http://dx.doi.org/10.1007/s10100-018-0528-9},
  volume       = {26},
  year         = {2018},
}