Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies.
Developing decision support systems for emergency situations is a complex and challenging task. These difficulties are compounded further in the case of cross-border emergencies, which often require the coordination and collaboration of independent agencies. These agencies have different structures and resources in place, and follow their own internal policies and procedures. If a number of countries have been affected, agencies may not even share the same language. Large-scale disasters, whether natural, deliberate, or accidental do not respect borders and come with a high risk to human life and a variety of economic and health impacts. Thus, it is the aim of the S-HELP (Securing-Health Emergency Learning Planning) project to develop a decision support tool-set that supports multi-agency decision-making during cross-border emergencies. S-HELP seeks to provide a tool-set that supports rapid and effective decision-making across all stages of the emergency management lifecycle (i.e. mitigation, preparedness, response, and recovery). To address the challenges associated with multi-agency emergency management, a holistic framed approach to healthcare preparedness, response, and recovery is proposed. This holistic framework has been created to guide the development of the S-HELP solution. The framework integrates a number of components important in the phased iterative development of an emergency management decision support system, such as, interoperability standards, risk communication, spatial data management, agile development, healthcare responder training, and scenario development for system evaluation. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
ongoing project
Simulatio planned ongoing project
logistic tools; threat assessment and ‘what if’ considerations; incident intelligence; learning tool sets; post evaluations
- design and develop emergency scenarios that reflect realistic threatsand are representative of different categories of threats (natural, deliberate, accidental, and technological)
plans for testing and validating the S-HELP DSS through the development and simulation of three selected scenarios in three EU Member States ongoing project
ongoing project
good approach in design and developmentnevertheless ongoing work, should be tracked further (own opinion, not stated in the paper)
ongoing project
ethical values relevant to EM and DSS have been identified, these values are: - transparency- responsiveness- reasonableness- data protection and privacy- justice and fairness- precautionan ethics-by-design approach is being elaborated to show how these ethical values are included in development, training, and end-user participation
(1) To use the S-HELP framework to design three scenarios(2) To test the S-HELP DSS tool-set and training modules(3) To assess the performance and impact of the S-HELP solution(4) To determine the applicability of the S-HELP solution
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