WIISARD SAGE: Self-Scaling Systems for Mass Casualty Management
WIISARD SAGE: Self-Scaling Systems for Mass Casualty Management
批准号:
7933660
负责人:
WILLIAM G GRISWOLD
金额:
$159.2万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-30 至 2012-09-29
关键词:
AddressArchitectureAreaBedsCaringClientClinicalCollaborationsCommunicationComputer SystemsComputer softwareContractsCoupledDataDisastersDisciplineEffectivenessElectromagneticsEmployee StrikesEnvironmentExerciseFire - disastersFrequenciesGrowthHelicopterInformaticsInformation TechnologyInternetKnowledgeLawsMeasurementMeasuresMedicalMedical AssistanceMedical InformaticsModelingOutcomePerformanceProtocols documentationPublishingRadio communicationsResearchResearch InfrastructureServicesSiteSpeedSystemTechnologyTestingTimeTrainingWireless TechnologyWorkbasecomputer sciencedesignemergency service responderinnovationmedical information systemmetropolitanmiddlewareoperationpreventresponsetooltransmission processuser centered designwireless networkworking group
中文摘要
描述(由申请人提供):
灾难响应的一个关键问题是移动环境中的群或协作计算。本申请描述了为解决三个关键的相互关联的问题而进行的研究,这些问题阻碍了在受灾地点成功使用信息技术来管理医疗保健。问题1:灾难现场经常有一个嘈杂和混乱的电磁环境,这使得无线网络不可靠。实用的灾难响应系统必须具有这样的体系结构,即使在可能阻止连接到任何中央服务器的中断期间,也能保留第一响应者的工作流,包括移动团队工作。问题2:第一反应人员通常一次一家到达灾难现场,并根据事故指挥系统进行组织。实际的灾难应对系统必须具有互操作性和自我伸缩性,随着第一批救援人员到达现场,能力必须逐步增强。问题3:计算机系统在灾难环境中的能力将根据连接和基础设施的不同而随时发生变化。我们如何将这些信息传达给用户,并设计出能够无缝使用这些信息来增强工作流程的应用程序?
本申请描述了使用灾难中医疗响应的无线互联网信息系统(WIISARD)试验台进行的研究,以研究如何通过创建灾难管理的自我扩展系统来最好地解决这些问题。一个目标是研究放宽通过该系统同时关闭数据交易的要求的系统的交易模式,并确定最适合灾害应对领域的交易模式类型。其他工作将研究如何调整发布/订阅协议以产生自伸缩系统。面向用户的设计和其他设计练习将有助于完善使用这些替代交易模式的灾难护理核心医疗应用程序的界面功能,并扩大和缩小业务范围。在与圣地亚哥地区都市医疗突击队和灾难医疗助理队CA-4进行的大型灾难演习中,将使用整个WIISARD试验台来测量模型和创新的有效性。衡量标准将包括网络和应用程序性能、信息传输速度以及对临床工作流程的影响。如果成功,这项研究将克服关键的技术障碍,这些障碍阻碍了有效利用计算机系统来支持灾难现场的医疗保健。
英文摘要
DESCRIPTION (provided by applicant):
A critical issue for disaster response is group or collaborative computing in mobile environments. This application describes research to address three critical inter-related problems that inhibit the successful use of information technologies at disaster sites to manage medical care. Problem #1: Disaster sites often have a noisy and chaotic electromagnetic environment that makes wireless networks unreliable. Practical systems for disaster response must have architectures that preserve first responder work flows, including mobile group work, even during disruptions that might prevent connects to any central server. Problem #2: First responders typically arrive at the scene of disaster sites one company at a time and organize themselves based on the Incident Command System. Practical systems for disaster response must be interoperable and self-scaling with progressive growth of capabilities as first responders arrive at the scene. Problem #3: The capabilities of computer systems in disaster environments will change from moment to moment based on connectivity and infrastructure. How can we convey this information to users and design applications that will use this information in a seamless way to enhance work flow?
This application describes research using the Wireless Internet Information System for Medical Response in Disasters (WIISARD) test bed to study how best to address these issues by creating self-scaling systems for disaster management. One aim will be to research models for transactions for systems that relax the requirement for data transactions to close simultaneously through the system and identify types of transaction models best suited to the domain of disaster response. Other work will examine how publish/subscribe protocols can be adapted to yield self-scaling systems. User oriented design and other design exercises will help refine the features of interfaces of core medical applications for disaster care that use these alternative transaction models and also expand and contract in scope of operations. Measurements of the effectiveness of models and innovations will be performed using the entire WIISARD test bed in large disaster drills with the San Diego Regional Metropolitan Medical Strike Team and Disaster Medical Assistant Team CA-4. Measures will include network and application performance, speed of transmission of information, and effects on clinical work flow. If successful, this research will overcome critical technical obstacles that prevent the effective use of computer systems to support medical care at disaster sites.
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WIISARD SAGE: Self-Scaling Systems for Mass Casualty Management
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批准号:7467415
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项目类别:
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资助金额:$156.59万
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财政年份:2009
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负责人:WILLIAM G GRISWOLD
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依托单位:
海外基金