Journal or Book Title
International Journal of Telemedicine and Applications
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
This project was supported in part by Grant 1R01LM011100-01A1 from the National Library of Medicine, National Institutes of Health.
Ganz, Aura; Schafer, James M.; Yang, Zhuorui; Yi, Jun; Lord, Graydon; and Ciottone, Gregory, "Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events" (2016). International Journal of Telemedicine and Applications. 1173.