TY  - JOUR
PY  - 2016//
TI  - Evaluation of a scalable information analytics system for enhanced situational awareness in mass casualty events
JO  - International journal of telemedicine and applications
A1  - Ganz, Aura
A1  - Schafer, James M.
A1  - Yang, Zhuorui
A1  - Yi, Jun
A1  - Lord, Graydon
A1  - Ciottone, Gregory
SP  - e9362067
EP  - e9362067
VL  - 2016
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1687-6415
UR  - http://dx.doi.org/10.1155/2016/9362067
ID  - ref1
ER  -