Radiological emergency response for community agencies with cognitive task analysis, risk analysis, and decision support framework.
Radiological nuclear emergency responders must be able to coordinate evacuation and relief efforts following the release of radioactive material into populated areas. In order to respond quickly and effectively to a nuclear emergency, highlevel coordination is needed between a number of large, indep...
| Publicado en: | Work Vol. 41; pp. 2925 - 2933 |
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| Autores principales: | , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2012 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104522765&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104522765 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2012 Supplement vid: 41 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104522765 71928400 10.3233/wor-2012-0659-2925 104522765 ppf: 2925 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Radiological emergency response for community agencies with cognitive task analysis, risk analysis, and decision support framework. aug: au: Soares, Marcelo M. Jacobs, Karen Meyer, Travis S. Muething, Joseph Z. Lima, Gustavo Amoras Souza Torres, Breno Raemy Rangel del Rosario, Trystyn Keia Gomes, José Orlando Lambert, James H. affil: Univ. of Virginia, Charlottesville, VA, USA sug: subj: Environmental Exposure Radioactive Pollutants Mass Casualty Incidents Risk Management Decision Making, Computer Assisted Human Brazil Nuclear Energy Graphical User Interface Videorecording Concept Mapping Funding Source ab: Radiological nuclear emergency responders must be able to coordinate evacuation and relief efforts following the release of radioactive material into populated areas. In order to respond quickly and effectively to a nuclear emergency, highlevel coordination is needed between a number of large, independent organizations, including police, military, hazmat, and transportation authorities. Given the complexity, scale, time-pressure, and potential negative consequences inherent in radiological emergency responses, tracking and communicating information that will assist decision makers during a crisis is crucial. The emergency response team at the Angra dos Reis nuclear power facility, located outside of Rio de Janeiro, Brazil, presently conducts emergency response simulations once every two years to prepare organizational leaders for real-life emergency situations. However, current exercises are conducted without the aid of electronic or software tools, resulting in possible cognitive overload and delays in decision-making. This paper describes the development of a decision support system employing systems methodologies, including cognitive task analysis and human-machine interface design. The decision support system can aid the coordination team by automating cognitive functions and improving information sharing. A prototype of the design will be evaluated by plant officials in Brazil and incorporated to a future trial run of a response simulation. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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