Peer-Reviewed Journal Details
Mandatory Fields
Neville, K,O'Riordan, S,Pope, A,Rauner, M,Rochford, M,Madden, M,Sweeney, J,Nussbaumer, A,McCarthy, N,O'Brien, C
Journal of Decision Systems
Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies
Optional Fields
Decision support systems emergency management disasters cross-border multi-agency response decision-making SOFTWARE ENGINEERING CODE DISASTER MANAGEMENT ETHICS COMMUNICATION COORDINATION RESILIENCE FRAMEWORK COMPUTER
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.
Grant Details