Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events.
Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events.
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DOI：
10.1155/2016/9362067
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发表时间：
2016
影响因子：
4.4
通讯作者：
Ciottone G
中科院分区：
文献类型：
--
作者：
Ganz A;Schafer JM;Yang Z;Yi J;Lord G;Ciottone G
我们研究了DIORAMA-II系统的效用，该系统通过使用实时可视化分析工具和事件指挥官与应急响应人员之间的协作平台，在灾难现场提供增强的态势感知。我们的试验在不同的地理区域（特征丰富和无特征的地区）和不同的照明条件（白天和夜间）进行。与传统的纸质系统相比，DIORAMA-II在效率方面获得了相当大的时间增益。DIORAMA-II时间收益反映在每位患者的平均分诊时间减少（每位患者平均分诊时间减少34.3%）和每位患者的平均转运时间减少（每位红色患者平均转运时间减少76.3%，每位黄色患者平均转运时间减少66.3%）。此外，与传统方法相比，DIORAMA-II确保没有患者被遗忘或按错误顺序运送，而传统方法导致患者被遗忘和按错误顺序运送。
We investigate the utility of DIORAMA-II system which provides enhanced situational awareness within a disaster scene by using real-time visual analytics tools and a collaboration platform between the incident commander and the emergency responders. Our trials were conducted in different geographical areas (feature-rich and featureless regions) and in different lighting conditions (daytime and nighttime). DIORAMA-II obtained considerable time gain in efficiency compared to conventional paper based systems. DIORAMA-II time gain was reflected in reduction of both average triage time per patient (up to 34.3% average triage time reduction per patient) and average transport time per patient (up to 76.3% average transport time reduction per red patient and up to 66.3% average transport time reduction per yellow patient). In addition, DIORAMA-II ensured that no patients were left behind or transported in the incorrect order compared to the conventional method which resulted in patients being left behind and transported in the incorrect order.