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

Medicine

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