Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events
Joint Authors
Schafer, James M.
Yang, Zhuorui
Yi, Jun
Lord, Graydon
Ciottone, Gregory
Ganz, Aura
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ganz, Aura& Schafer, James M.& Yang, Zhuorui& Yi, Jun& Lord, Graydon& Ciottone, Gregory. 2016. Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events. International Journal of Telemedicine and Applications،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1107096
Modern Language Association (MLA)
Ganz, Aura…[et al.]. Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events. International Journal of Telemedicine and Applications No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1107096
American Medical Association (AMA)
Ganz, Aura& Schafer, James M.& Yang, Zhuorui& Yi, Jun& Lord, Graydon& Ciottone, Gregory. Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events. International Journal of Telemedicine and Applications. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1107096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107096