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Alvaro Pemartin De La Calle, & Murray Turoff. (2011). Three hundred decisions a day: A case study of local crisis management. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper is a case study of an emergency medical dispatch system that describes its operations and difficulties Emergency Management in Andalusia is the responsibility of the Internal Affairs Authority that operates in each province a Coordination Center that receives Emergency Calls and in cases where there is a medical emergency, passes the information to the Emergency Coordination Centers. The 112 Centers gather all the information generated in emergency situations and supposedly coordinate the response of the several emergency services (Police, and Fire Departments) that operate their own coordination centers. If necessary they send a medical request to the 112 Center that, acting as a hub, sends to EPES the information about the medical incident.
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Anton Donner, Thomas Greiner-Mai, & Christine Adler. (2012). Challenge patient dispatching in mass casualty incidents. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Efficient management of mass casualty incidents is complex, since regular emergency medical services structures have to be switched to a temporary “disaster mode” involving additional operational and tactical structures. Most of the relevant decisions have to be taken on-site in a provisional and chaotic environment. Data gathering about affected persons is one side of the coin; the other side is on-site patient dispatching requiring information exchange with the regular emergency call center and destination hospitals. In this paper we extend a previous conference contribution about the research project e-Triage to the aspect of patient data and on-site patient dispatching. Our considerations reflect the situation in Germany, which deserves from our point of view substantial harmonization. © 2012 ISCRAM.
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Anna Gustafsson, & Tobias Andersson Granberg. (2012). Dynamic planning of fire and rescue services. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: We discuss decision support tools used for more efficient planning of fire and rescue services. The methodology considers small and flexible units and includes dynamic utilization of the existing resources. We develop a quantitative measure for preparedness and use it as a basis for decision support. By constantly accounting for the current situation and using intelligent strategies to locate and allocate resources that support good preparedness, response times can be shortened. The tools will be tested using an experimental setup that includes human-in-the-loop simulations, and the results will compare situations that occur when the decision makers have and do not have access to the developed tools. © 2012 ISCRAM.
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Jess Kropczynski, Rob Grace, Shane Halse, Doina Caragea, Cornelia Caragea, & Andrea Tapia. (2019). Refining a Coding Scheme to Identify Actionable Information on Social Media. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: This paper describes the use of a previously established qualitative coding scheme developed through a design workshop with public safety professionals, and applied the schema to social media data collecting during crises. The intention of applying this scheme to existing crisis datasets was to acquire training data for machine learning. Applying the coding scheme to social media data revealed that additional subcategories of the coding scheme are necessary to satisfy information requirements necessary to dispatch first responders to an incident. The coding scheme was refined and adapted into a set of instructions for qualitative coders on Amazon Mechanical Turk. The contribution of this work is a coding scheme that is more directly related to the information needs of public safety professionals. Implications of early results using the refined coding scheme are discussed in terms of proposed automated methods to identify actionable information for dispatch of first responders during emergency incidents.
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Lennart Landsberg, David Ganske, Christopher Munschauer, & Ompe Aimé Mudimu. (2020). Using Existing Data to Support Operational Emergency Response in Germany – Current Use Cases, Opportunities and Challenges. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 406–415). Blacksburg, VA (USA): Virginia Tech.
Abstract: The availability of resources in the fire and ambulance services in Germany is facing a radical change. Demographic and social transition is reducing the availability of volunteer personnel, and increasing traffic congestion in cities is resulting in longer travel times for emergency vehicles. This paper presents the findings of the definition phase of a research project that addresses these changes. It shows the basic idea of how resilience of fire and ambulance services can be improved by analyzing operational data from past incidents using artificial intelligence (AI). The primary objective is the development of a decision support system for control center dispatchers, which ensures optimal use of available resources. As the result of the definition phase, this paper gives an overview of existing data, current as well as future use cases and also highlights risks and challenges that have to be considered.
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Tim A. Majchrzak, Oliver Noack, Herbert Kuchen, Philipp Neuhaus, & Frank Ückert. (2010). Towards a decision support system for the allocation of traumatized patients. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: We present a decision support system for the allocation of traumatized patients. The assignment of patients to vehicles and hospitals is a task that requires detailed up-to-date information but has to be carried out quickly. We pro-pose to support medical staff with an IT system. We especially encourage such a system to be used in cases of mass incidents as it is very problematic – yet essential – To provide all injured with adequate healthcare as fast as possible. Our proposal is a system based on business rules. In this paper we describe the development project's background as well as the system's requirements and some details of its implementation. Moreover, we explain an exemplary scenario to show strengths of our approach. Besides discussing related work, we draw an overview of future tasks.
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Ophélie Morand, Stéphane Safin, Robert Larribau, & Caroline Rizza. (2023). Understanding and Improving Collaboration in Emergency Simulations with a Local Chain of Survival. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 117–129). Palmerston North, New Zealand: Massey Unversity.
Abstract: Out-of-hospital cardiac arrest (OHCA) and choking are two emergencies where the rapid action of a bystander can increase the victim's chances of survival. Few bystanders act because they are not aware of their role as the first link in the chain of survival. Working on collaboration among a local chain of survival and using applications to improve communication and provide tutorials of actions to perform can be used to overcome this issue. We investigate these elements in the context of the Geneva Chain of Survival using simulations. The results show that an optimal collaboration means a lead’s handover between the intervening parties. Collaboration can be degraded by problems of communication, panic , and confusion. Applications constitute a valuable addition to enhance the dispatcher's awareness and to help guide the CPR while not extending the intervention time. Finally, the debriefing that follows enables the acquisition of competencies through experiential learning that relies on emotions.
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Rob Grace, Shane Halse, Jess Kropczynski, Andrea Tapia, & Fred Fonseca. (2019). Integrating Social Media in Emergency Dispatch via Distributed Sensemaking. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Emergency dispatchers typically answer 911 calls and relay information to first responders; however, new workflows arise when social media analysts are included in emergency dispatch work. In this study we examine emergency dispatch workflows as distributed sensemaking processes performed among 911 call takers, dispatchers, and social media analysts during simulated emergency dispatch operations. In active shooter and water rescue scenarios, emergency dispatch teams including call takers, dispatchers, and social media analysts make sense of unfolding events by analyzing, aggregating, and synthesizing information provided by 911 callers and social media users during each scenario. Findings from the simulations inform design requirements for social media analysis tools that can help analysts detect, seek, and analyze information posted on social media during a crisis, and protocols for coordinating analysts? sensemaking activities with those of 911 call takers and dispatchers in reconfigured emergency dispatch workflows.
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Tobias Andersson Granberg, Sara Erlander, David Fredman, Lovisa Olovsson, & Emma Persson. (2022). Predicting Volunteer Travel Time to Emergencies. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 44–54). Tarbes, France.
Abstract: A model is developed, which can predict the travel time for volunteers that are dispatched as first responders to emergencies. Specifically, the case of lay responders to out of hospital cardiac arrest is studied. Positions from historical responses is used to estimate the real response times, which are used to train and evaluate the new travel time model. The new model considers the road network and the transport mode most likely used by the volunteers. The results for the new model are compared to a model used in an existing volunteer initiative. They show that the new model can make better predictions in 59.7% of the cases. This can be used directly as a base for improving the travel time estimates in existing volunteer initiatives, and to improve the input data to the continuously evolving volunteer resource management systems.
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