Gregory R. Ciottone

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DIORAMA system which is using rapid information collection and accurate resource tracking can assist incident commanders in their attempt to bring order to the chaos as they direct rescue operations for Mass Casualty Incidents (MCI). This system makes use of active Radio Frequency Identification (RFID) tags to identify the location and status of the(More)
Globalization, population migration, climate change, and the explosion of low-intensity conflicts throughout the world have created an increasingly complex environment for humanitarian aid and international relations. 1–3 Concurrently, the global community has witnessed unprecedented levels of philanthropy and humanitarian assistance in response to(More)
In this paper we introduce DIORAMA based interactive visual analytics tools that enable forensic analysis of mass casualty incidents. Using visualization tools we can get an overview of data collections as well as zoom into interesting details and filter datasets by comparing the data items based on some attribute values (e.g. display all the red patients,(More)
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(More)
In this paper we show DIORAMA efficiency in a simulated Mass Casualty Incident drill. As shown by our results DIORAMA system has achieved orderly transport of patients from site of injury to collection point, all red before the yellow were transported (no order was obeyed in the paper drills). We also show that DIORAMA system was used by responders with(More)
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