TY - JOUR
T1 - Towards the development of a decision support system for multi-agency decision-making during cross-border emergencies
AU - Neville, Karen
AU - O'Riordan, Sheila
AU - Pope, Andrew
AU - Rauner, Marion
AU - Rochford, Maria
AU - Madden, Martina
AU - Sweeney, James
AU - Nussbaumer, Alexander
AU - McCarthy, Nora
AU - O'Brian, Cian
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - decision support
KW - decision system
KW - emergency management
U2 - 10.1080/12460125.2016.1187393
DO - 10.1080/12460125.2016.1187393
M3 - Article
VL - 25
SP - 381
EP - 396
JO - Journal of Decision Systems
JF - Journal of Decision Systems
SN - 1246-0125
IS - Supplement 1
ER -