Alison J. Hayes, Jessica Lancaster, Zeno Franco, & Anne Kissack. (2012). Disaster medical education & simulated crisis events: A translational approach. 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: This review addresses current educational and research efforts in disaster medical education (DME) in the United States. Since the events of 9/11, DME has received greater attention. However substantial problems remain in terms of ensuring that large numbers of medical students and residents are exposed to high quality DME – not only Emergency Medicine residents. Barriers to widespread adoption of DME include lack of performance metrics, disagreement task areas, and lack of emphasis on physician leadership. Further, such efforts must ensure retention of key information over periods that are disaster free; utilize objective training metrics that will allow for an evidence base to form; and develop low cost, scalable training approaches that offer greater fidelity to the disaster environment than classroom based instruction. To improve the state of the art, we argue that DME research must move toward a translational science model that integrates important advances in basic information science into application that improve the clinical performance of frontline medical staff who are called on to respond to individual and community needs in the aftermath of disaster. Mid-fidelity, team-in-the-loop simulations developed for disaster manager training may provide an avenue toward improved DME by exposing medical students to scenarios that fundamentally challenge their assumptions in real-time game play. This can be accomplished with lower costs and greater scalability than live exercise or mock-up training approaches. © 2012 ISCRAM.
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Zeno Franco, Syed Ahmed, Craig E. Kuziemsky, Paul A. Biedrzycki, & Anne Kissack. (2013). Using social network analysis to explore issues of latency, connectivity, interoperability & sustainability in community disaster response. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 896–900). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Community-based disaster response is gaining attention in the United States because of major problems with domestic disaster recovery over the last decade. A social network analysis approach is used to illustrate how community-academic partnerships offer one way to leverage information about existing, mediated relationships with the community through trusted actors. These partnerships offer a platform that can be used to provide entré into communities that are often closed to outsiders, while also allowing greater access to community embedded physical assets and human resources, thus facilitated more culturally appropriate crisis response. Using existing, publically available information about funded community-academic partnerships in Wisconsin, USA, we show how social network analysis of these meta-organizations may provide critical information about both community vulnerabilities in disaster and assist in rapidly identifying these community resources in the aftermath of a crisis event that may provide utility for boundary spanning crisis information systems.
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