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

作者: Marion S. Rauner , Helmut Niessner , Steen Odd , Andrew Pope , Karen Neville

DOI: 10.1007/S10100-018-0528-9

关键词: Process managementPreparednessEmergency managementComputer scienceCivil defenseHealth careInteroperabilityEuropean unionDecision support systemHumanitarian Logistics

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

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