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Author (up) Christine Adler; Marion Krüsmann; Thomas Greiner-Mai; Anton Donner; Javier Mulero Chaves; Àngels Via Estrem pdf  isbn
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  Title IT-supported management of mass casualty incidents: The e-triage project Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Database systems; Digital communication systems; Disasters; Distributed database systems; Human engineering; Information systems; Satellite communication systems; Stresses; User interfaces; Communication infrastructure; Database synchronization; Digital communications; Distributed database; E-Triage; Mass casualty incidents; Rescue operations; Satellite communications; Interoperability  
  Abstract Voice, analogue mobile radio, and paper have een successfully used for decades for coordination of emergencies and disasters, but although being simple and robust this approach cannot keep pace with todays requirements any more. Emerging and established digital communication standards open the door to new applications and services, but the expected benefit needs to be carefully evaluated against robustness, interoperability, and user-friendliness. This paper describes a framework for IT-supported management of mass casualty incidents, which is currently under implementation and study. The four pillars of the concept are handheld devices for use both in daily rescue operations and in disasters, autonomous satellite-based communication infrastructure, a distributed database concept for maximal availability, and psychological acceptance research.  
  Address Ludwig Maximilians University, Dept. Psychology, Munich, Germany; Euro-DMS Ltd., Olching, Germany; DLR, Institute of Communications and Navigation, Oberpfaffenhofen, Germany; TriaGnoSys GmbH, Weßling, Germany  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Mobile and Sensor Networks Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 255  
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Author (up) Geoffrey Hoare; Jeffrey Nield; Tom Belcuore; Tom Rich pdf  isbn
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  Title Information needs and decision support in health and medical disasters Type Conference Article
  Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008  
  Volume Issue Pages 778-786  
  Keywords Artificial intelligence; Database systems; Decision making; Decision support systems; Disaster prevention; Disasters; Health; Information systems; Decision makers; Decision supports; Disaster management; Incident command systems; Incident Management; Information overloads; Medical decision making; Medical systems; Information management  
  Abstract During a disaster, health and medical decision makers need accurate, timely information. However, it is seldom readily available to the right decision makers, at the right time. Quite a number of databases currently exist with information about health and medical organizations which decision makers need during a disaster. Some of these databases have functions that facilitate decision-making and communication before, during and after a disaster. In theory, linking several existing databases will supply this information. Also, other functions can be provided in one package for incident management and monitoring of the preparedness capacity of a State's health and medical systems. But, this has not happened yet in Florida. This research assessed the different users needs, defined the information required to make good decisions and is testing a pilot decision support system of linked databases.  
  Address Florida Department of Health, United States; ESS Group, United States; Abt Assoc., United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Applications for Mitigating Information Overload Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 586  
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Author (up) Huizhang Shen; Jingwen Hu; Jidi Zhao; Jing Dong pdf  isbn
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  Title Ontology-based modeling of emergency incidents and crisis management Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Artificial intelligence; Database systems; Decision support systems; Information systems; Ontology; Reusability; Risk management; Semantics; Crisis management; Crisis response; Decision supports; Emergency Decision-making; Emergency Incidents; Emergency management systems; Emergency response; Relational Database; Information management  
  Abstract With the frequent occurrence of emergency incidents in recent years, developing intelligent and effective decision support systems for emergency response and management is getting crucial to the government and public administration. Prior research has made many efforts in constructing crisis databases over the decades. However, existing emergency management systems built on top of these databases provide limited decision support capabilities and are short of information processing and reasoning. Furthermore, ontology based on logic description and rules has more semantics description capability compared to traditional relational database. Aiming to extend existing studies and considering ontology's reusability, this paper presents an approach to build ontology-based DSSs for crisis response and management. © 2012 ISCRAM.  
  Address Department of Management Information Systems, Shanghai Jiao Tong University, Shanghai, 200052, China; Department of Public Administration, East China Normal University, Shanghai, 200062, China  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Intelligent Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 206  
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Author (up) Mifan Careem; David Bitner; Ravindra De Silva pdf  isbn
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  Title GIS integration in the Sahana disaster management system Type Conference Article
  Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007  
  Volume Issue Pages 211-218  
  Keywords Database systems; Disaster prevention; Disasters; Information management; Management information systems; Data management software; Disaster management; Disaster response; Geographic location; Information and communications technology; Large amounts of data; Natural disasters; Time constraints; Geographic information systems  
  Abstract Disaster Management often involves using Information and Communications Technology (ICT) to manage large amounts of data efficiently. Data gathered from disasters are often related to geographic locations, such as the affected geographic region, thus requiring special forms of data management software to utilize and manage them efficiently. Geographic Information Systems (GIS) are specialized database systems with software that can analyze and display data using digitized maps and tables for decision making. Preparing and correctly formatting data for use in a GIS is nontrivial, and it is even more challenging during disasters because of tight time constraints and inherent unpredictability of many natural disasters. This paper describes the important role of GIS in disaster management, and discusses the most common characteristics of GIS and their potential use in disaster response. We follow up with a detailed description of the GIS prototype in the Sahana Disaster Management System.  
  Address Lanka Software Foundation, Sri Lanka; DbSpatial, Sri Lanka  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium  
  Track GISC Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 373  
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Author (up) Nicholas Palmer; Roelof Kemp; Thilo Kielmann; Henri Bal pdf  isbn
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  Title RAVEN: Using smartphones for collaborative disaster data collection Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Database systems; Disaster prevention; Disasters; Distributed computer systems; Groupware; Information systems; Signal encoding; Smartphones; User interfaces; Android; Centralized resources; Collaborative Editing; Collaborative softwares; Data distribution; Data synchronization; Disaster management; Work in progress; Android (operating system)  
  Abstract In this paper we describe our work in progress on RAVEN, a framework, which makes it possible to build applications for collaborative editing of structured data on Android. RAVEN offers developers compile time tools, which use only the schema to generate all database handling components, edit and list user interfaces, as well as those needed for data synchronization, significantly reducing development effort. In addition, RAVEN also offers the ability to do the same work, entirely at runtime, using only a smartphone. With RAVEN it is possible to construct data oriented applications on phone at any time, including during a disaster. Users can share their applications simply by sharing the database and corresponding schema. Thus, RAVEN enables completely decentralized application creation, sharing, and data distribution, avoiding issues of connectivity to centralized resources. In this paper we show that with RAVEN it is possible to construct a new application at runtime and compare the results with an equivalent custom-built application. © 2012 ISCRAM.  
  Address VU University Amsterdam, Netherlands  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 183  
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Author (up) Oliver Schmitt; Tim A. Majchrzak pdf  isbn
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  Title Using document-based databases for medical information systems in unreliable environments Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Data storage equipment; Health care; Management information systems; Medical computing; Medical information systems; CouchDB; Crisis management; Crisis management systems; Development project; Document; Document-based; Medical data sets; Medical research; Database systems  
  Abstract Healthcare and crisis management are pervaded by the usage of Information Systems (IS). Virtually all IS rely on data storage. Despite the document-oriented nature of medical datasets, the prevailing kind of database used are relational (RDBMS) ones. In order to find a more adequate solution in a development project for a patientregistry, we evaluated a document-based database incorporated into the data storage layer of a system. To foster the understanding of this technology, we present the background of form-originated data storage in healthcare, introduce document-based databases, and describe our scenario. Based on our findings, we generalize the results with a focus on crisis management. We found that document-based databases such as CouchDB are well-suited for IS in medical contexts and might be a feasible option for the future implementation of systems in various fields of healthcare, crisis response, and medical research. © 2012 ISCRAM.  
  Address Department of Information Systems, University of Münster, Germany  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Healthcare Crisis Management Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 202  
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Author (up) Yuanyuan Li; Wenguo Weng; Tao Chen; Hongyong Yuan pdf  isbn
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  Title A Chinese earthquake database for casualty modelling Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 493-497  
  Keywords Database systems; Information systems; Models; Risk assessment; Risk perception; Casualty; China; Comprehensive information; Database records; Earthquake database; Earthquake events; Historical earthquakes; Seismic parameters; Earthquakes  
  Abstract In order to conduct empirical casualty modelling in China, Chinese historical earthquake events is the essential basis. However, commonly used casualty databases that focus on Chinese earthquakes and provide comprehensive information rarely exist. Regarding this situation, we derived an earthquake casualty database of Mainland China from authorized Chinese published data sources. The casualty database records 520 earthquake events with magnitude 5.0 and greater where at least one casualty is recorded in the time span from 186 BC through December 2011. Each earthquake case contains information on seismic parameters, deaths tolls, number of heavy injuries and light injuries, as well as areas and population of affected regions from intensity VI to intensity IV. Compared with PAGER-CAT, this casualty database provides 146 unique earthquake events and provides more detailed information on heavy injuries and light injures, as well as areas and exposure population of affected regions. This casualty database is an essential supplement for global casualty databases and provides a basis for earthquake casualty modelling on post-earthquake risk estimation in China.  
  Address Institute of Public Safety Research, Tsinghua University, Beijing, China  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Planning, Foresight and Risk Analysis Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 696  
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