Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System

Ganz, Aura; Schafer, James; Tang, Jingyan; Yang, Zhuorui; Yi, Jun; Ciottone, Gregory R.

doi:10.1016/j.proeng.2015.06.091

Cited by 21 publications

(11 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study of [107] presented an assessment system of patients in real time on the basis of 'mobile electronic triaging' and has been performed by sensor-detected information and crowdsourcing. Other systems for rescue operations in urban areas are based on situational awareness, indoor and outdoor [108]. Tracking system of pilgrims in holy spaces was also developed [109].…”

Section: Gateway Based (Tier 2)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

View full text Add to dashboard Cite

Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisionmaking theory to address the current problems in the prioritisation of patients with MCDs.

show abstract

Section: Gateway Based (Tier 2)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This incident commander and responder applications which we introduced in [ 7 , 9 , 10 ] display in real time the icon view of the incident overlaid on Google Maps. The icons represent the points of interest (patients, responders, etc.)…”

Section: Diorama-ii Architecturementioning

confidence: 99%

Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events

Ganz

Schafer

Yang

et al. 2016

International Journal of Telemedicine and Applications

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…In the assessment stage facts are gathered and target areas are determined. Once areas where people are entrapped have been identified by means of various technology (see Ganz et al (2015)), search operations involving multiple teams should be put into action in a coordinated way, following a well-designed action plan that should be prepared as soon as possible. Next, the teams are dispatched to reach the victims under dire conditions such as blocked roads.…”

Section: Introductionmentioning

confidence: 99%

Online routing and scheduling of search-and-rescue teams

2020

View full text Add to dashboard Cite

We study how to allocate and route search-and-rescue (SAR) teams to areas with trapped victims in a coordinated manner after a disaster. We propose two online strategies for these time-critical decisions considering the uncertainty about the operation times required to rescue the victims and the condition of the roads that may delay the operations. First, we follow the theoretical competitive analysis approach that takes a worst-case perspective and prove lower bounds on the competitive ratio of the two variants of the defined online problem with makespan and weighted latency objectives. Then, we test the proposed online strategies and observe their good performance against the offline optimal solutions on randomly generated instances.

show abstract

Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System

Cited by 21 publications

References 3 publications

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events

Online routing and scheduling of search-and-rescue teams

Contact Info

Product

Resources

About