Ganz Aura, Schafer James M, Yang Zhuorui, Yi Jun, Lord Graydon, Ciottone Gregory
Electrical and Computer Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Intermedix Corporation, 1800 S. Bell Street, Suite 210, Arlington, VA 22202, USA.
Int J Telemed Appl. 2016;2016:9362067. doi: 10.1155/2016/9362067. Epub 2016 Jun 28.
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.
我们研究了DIORAMA-II系统的效用，该系统通过使用实时视觉分析工具以及事件指挥官与应急响应人员之间的协作平台，在灾难场景中提供增强的态势感知。我们的试验在不同地理区域（特征丰富和无特征区域）以及不同光照条件（白天和夜间）下进行。与传统的纸质系统相比，DIORAMA-II在效率上获得了可观的时间增益。DIORAMA-II的时间增益体现在每位患者的平均分诊时间减少（每位患者平均分诊时间最多减少34.3%）以及每位患者的平均转运时间减少（红色患者平均转运时间最多减少76.3%，黄色患者平均转运时间最多减少66.3%）。此外，与传统方法相比，DIORAMA-II确保没有患者被遗漏或被错误地转运，传统方法会导致患者被遗漏和被错误地转运。
