Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies.

Authors
Neville, Karen ; O'Riordan, Sheila ; Pope, Andrew ; Rauner, Marion ; Rochford, Maria ; Madden, Martina ; Sweeney, James ; Nussbaumer, Alexander ; McCarthy, Nora ; O'Brien, Cian

Developing decision support systems for 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 to human life and a variety of economic and health impacts. Thus, it is the aim of the S-HELP (Securing-Health Learning Planning) project to develop a decision support -set that supports multi-agency decision-making during cross-border emergencies. S-HELP seeks to provide a -set that supports rapid and effective decision-making across all stages of the lifecycle (i.e. , , , and ). To address the challenges associated with multi-agency , a holistic framed approach to healthcare preparedness, , and is proposed. This holistic framework has been created to guide the development of the S-HELP . The framework integrates a number of components important in the phased iterative development of an emergency management decision support system, such as, standards, communication, spatial data management, agile development, healthcare responder , and development for system . (PsycINFO Database Record (c) 2017 APA, all rights reserved)

Codebooks
SLR Criteria
Summary

ongoing project

SLR Criteria
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Simulatio planned ongoing project

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logistic tools; threat and ‘what if’ considerations; incident intelligence; learning sets; post evaluations

Summary

- design and develop scenarios that reflect realistic threatsand are representative of different categories of threats (natural, deliberate, accidental, and technological)

SLR Criteria
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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

SLR Criteria
Summary

ongoing project

Summary

good approach in design and developmentnevertheless ongoing work, should be tracked further (own opinion, not stated in the paper)

SLR Criteria
Summary

ongoing project

SLR Criteria
Summary

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, , and end-user participation

SLR Criteria
Summary

(1) To use the S-HELP framework to design three scenarios(2) To test the S-HELP DSS -set and modules(3) To assess the performance and impact of the S-HELP (4) To determine the applicability of the S-HELP

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