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Situational Awareness During Mass-Casualty Events:
Command and Control
Barry Demchak <bdemchak@ucsd.edu>, BA, Theodore C. Chan, MD,
William G. Griswold, PhD, Leslie Lenert, MD
California Institute for Telecommunications and Information Technology, San Diego Division and
the University of California, San Diego, School of Medicine.
Funding: National Library of Medicine
Existing Incident Command Systems
• Paper-based patient tallies
 Radio- or hand-carried
 Manually reviewed, summarized,
and posted
• Labor intensive
• Long latency
• High risk of loss
• Inconsistent data
• Low data flow and resolution
What is WIISARD?Clients
• Patient tracking, triage, & treatment
• Patient tags, First responder PDAs, &
Team leader tablet PCs
• 802.11b-enabled
• Disconnected operations
Network
• Low cost, Linux-based access points
• Scalable, self-organizing mesh network
• 802.11b (local), EVDO/GPRS/RTT
(remote)
• Self-locating (GPS)
Incident Command
• Geographical, status, and trend views
• Hazard detection and reporting
• Real-time updates
• 802.11b-enabled
• Disconnected operations
Database
• PostgreSQL-based
• Publish/subscribe distribution
• Supports disconnected/reconnected
clients
• Automatic partitioning and rejoining
WIISARD Command Center
• Leverages state-of-art
• Data collection devices
• Wireless communications
• Database services
• Multiple external data sources
• Designed by/for emergency professionals
and incident command
• Rolled out and tested in semi-annual
regional drills since 2005
Situational Awareness
• Role-tailored maps and charts, including
trends
• Real-time updating and correlating
• Tiled layout dynamically selectable
• Zoomable and scrollable
• Drill down for more detail
• Real-time geo-alerts
• Optimized for harsh lighting and viewing
conditions
• Role-based data quality visualizations
Outlook
• “Unique contributions to safety, resource
allocation, and strategic planning” –
Incident Commander, Del Mar Drill 2005
• Future improvements
• Additional data sources (weather, real-
time plume projection, floor plans,
diverse clients)
• Improved data density/readability
• Platform for advanced data quality
research

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Poster amia 2006

  • 1. Situational Awareness During Mass-Casualty Events: Command and Control Barry Demchak <bdemchak@ucsd.edu>, BA, Theodore C. Chan, MD, William G. Griswold, PhD, Leslie Lenert, MD California Institute for Telecommunications and Information Technology, San Diego Division and the University of California, San Diego, School of Medicine. Funding: National Library of Medicine Existing Incident Command Systems • Paper-based patient tallies  Radio- or hand-carried  Manually reviewed, summarized, and posted • Labor intensive • Long latency • High risk of loss • Inconsistent data • Low data flow and resolution What is WIISARD?Clients • Patient tracking, triage, & treatment • Patient tags, First responder PDAs, & Team leader tablet PCs • 802.11b-enabled • Disconnected operations Network • Low cost, Linux-based access points • Scalable, self-organizing mesh network • 802.11b (local), EVDO/GPRS/RTT (remote) • Self-locating (GPS) Incident Command • Geographical, status, and trend views • Hazard detection and reporting • Real-time updates • 802.11b-enabled • Disconnected operations Database • PostgreSQL-based • Publish/subscribe distribution • Supports disconnected/reconnected clients • Automatic partitioning and rejoining WIISARD Command Center • Leverages state-of-art • Data collection devices • Wireless communications • Database services • Multiple external data sources • Designed by/for emergency professionals and incident command • Rolled out and tested in semi-annual regional drills since 2005 Situational Awareness • Role-tailored maps and charts, including trends • Real-time updating and correlating • Tiled layout dynamically selectable • Zoomable and scrollable • Drill down for more detail • Real-time geo-alerts • Optimized for harsh lighting and viewing conditions • Role-based data quality visualizations Outlook • “Unique contributions to safety, resource allocation, and strategic planning” – Incident Commander, Del Mar Drill 2005 • Future improvements • Additional data sources (weather, real- time plume projection, floor plans, diverse clients) • Improved data density/readability • Platform for advanced data quality research