Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-10T10:42:04.209Z Has data issue: false hasContentIssue false

Crisis Clever System (CCS) – tracking experience of crisis management for decision support

Published online by Cambridge University Press:  06 May 2019

Sophie Loriette*
Affiliation:
ICD, University of technology of Troyes, 12 rue Marie Curie, BP. 2060, 10010 Troyes Cedex, France
Nada Matta
Affiliation:
ICD, University of technology of Troyes, 12 rue Marie Curie, BP. 2060, 10010 Troyes Cedex, France
Mohamed Sediri
Affiliation:
ICD, University of technology of Troyes, 12 rue Marie Curie, BP. 2060, 10010 Troyes Cedex, France
Alain Hugerot
Affiliation:
Aube Emergency Department, Hôpital de Troyes, Troyes, France
*
Author for correspondence: Sophie Loriette, E-mail: sophie.loriette@utt.fr

Abstract

During a crisis situation, the ability of emergency department to take reliable and quick decisions is the main feature that defines the success or failure of this organization in the course of its crisis management. Decision makers spend time on identifying the decisions that will be taken for the whole of the crisis management, and on anticipating the preparation of these decisions, ensuring that they have time to properly prepare all decisions to be taken and, be able to implement them as fast as possible. However, the context and the characteristics of the crisis make the decision process complicated because there is no specific methodology to anticipate these decisions and properly manage collaboration with the other protagonists. There is also the pressure of time, a significant stress and, the emotional impact on the decision maker that lead to losing objectivity in decision making. We understand so that the right decision will be greatly facilitated and enhanced by the development of an adequate tool and process for decision-making. This tool must respect methods of the emergency department considered, and highlight the importance of experience feedback referencing to past cases, especially success and failures. We propose in this paper, software in order to handle experience feedback as a support for decision-making in crisis management “Crisis Clever System”. Several dimensions are considered in this study, from one side: organization, communication and problem-solving activities and from the other side the presentation and finding of experience feedback thanks to an analogy technique.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aich, A and Loriette, S (2007) Aided navigation for disabled people by re-use of experiments. Journal européen des systèmes automatisés 41, 135157.Google Scholar
Aristote (1972) Ethique à Nicomaque. Paris: Vrin (Ed).Google Scholar
Bekhti, S, Matta, M and Chaker, D (2011) Knowledge representation for an efficient re-use of project memory. Applied Computing and Informatics 9, 119135. Available at http://linkinghub.elsevier.com/retrieve/pii/S2210832711000305.Google Scholar
Bouyssou, D, Dubois, D, Pirlot, M and Prade, H (2006) Concepts et méthodes pour l'aide à la décision 1, outils de modélisation. Paris: Hermès-Lavoisier (Ed.).Google Scholar
Bruaux, S, Kassel, G and Morel, G (2003) Étude critique de la méthode CommonKADS; application au calage de codes de calcul. In Proceedings of the Conférence en Ingénierie des Connaissances IC'2003, 241257, Laval, France.Google Scholar
Busemeyer, JR and Pleskac, TJ (2009) Theoretical tools for understanding and aiding dynamic decision making. Journal of Mathematical Psychology 53, 126138. Available at https://doi.org/10.1016/j.jmp.2008.12.007.Google Scholar
Cablé, B, Nigro, JM and Loriette, S (2011) Scenario-based anticipation for aided navigation. In Fifth IEEE International Conference on Research Challenges in Information Science, Pointe-à-Pitre, France.Google Scholar
Carver, L and Turoff, M (2007) Human-computer interaction: the human and computer as a team in emergency management information systems. Communications of the ACM 50, 3338. Available at http://dx.doi.org/10.1145/1226736.1226761.Google Scholar
Chakraborty, B, Ghosh, D, Ranjan, R, Garnaik, S and Debnath, N (2010). Knowledge Management with Case-Based Reasoning applied on Fire Emergency Handling. In 8th IEEE International Conference on Industrial Informatics (INDIN), Osaka, 708713. doi: 10.1109/INDIN.2010.5549654.Google Scholar
Champin, PA, Prié, Y and Mille, A (2003) Musette: Modeling USEs and Tasks for Tracing Experience Primitive trace. In Workshop 5 ‘From Structured Cases to Unstructured Problem Solving Episodes For Experience-Based Assistance, International Conference on Case-based Reasoning (ICCBR), 279286, Trondheim, Norway.Google Scholar
Christian Bastien, JM and Scapin, DL (2009) Evaluating a user interface with ergonomic criteria. International Journal of Human–Computer Interaction 7, 105121. doi: 10.1080/10447319509526114.Google Scholar
Cordier, A, Mascret, B and Mille, A (2009) Étendre les possibilités du raisonnement à partir de cas grâce aux traces. In 17ème atelier de Raisonnement à Partir de Cas, 7182, Paris, France. Available at http://liris.cnrs.fr/publis/?id=4179).Google Scholar
Endsley, MR and Robertson, MM (2000) Situation awareness in aircraft maintenance teams. International Journal of Industrial Ergonomics 26, 301325. Available at http://linkinghub.elsevier.com/retrieve/pii/S0169814199000736.Google Scholar
Ermine, JL (2002) Sciences du danger et Ingénierie des connaissances. Maîtrise des risques et sûreté de fonctionnement des systèmes de production. Traité IC2 (Information, Commande, Communication). Hermes Science publications (Ed). 2549.Google Scholar
Feng, Y, Teck-Hou, T and Ah-Hwee, T (2009) Modelling situation awareness for Context-aware Decision Support. Expert Systems with Applications 36, 455463. Available at https://doi.org/10.1016/j.eswa.2007.09.061.Google Scholar
Fensel, D, Van Harmelen, F, Klein, M and Akkermans, H (2000) On-To-Knowledge: Ontology-based Tools for Knowledge Management. In eBusiness and eWork, 1820.Google Scholar
French, S and Turoff, M (2007) Decision support systems. Communications of the ACM 50, 3940. Available at http://dx.doi.org/10.1145/1226736.1226762.Google Scholar
Freund, J (1976) Sur deux catégories de la dynamique polémogène. Communications 25, 101112. Available at (http://www.persee.fr/web/revues/home/prescript/article/comm_0588-8018_1976_num_25_1_1383).Google Scholar
Gentner, D and Toupin, C (1986) Systematicity and surface similarity in the development of analogy. Cognitive Science 10, 277300.Google Scholar
Gonzalez, C, Vanyukov, P and Martin, MM (2005) The use of microworlds to study dynamic decision making. Computers in Human Behavior 21, 273286. Available at http://linkinghub.elsevier.com/retrieve/pii/S0747563204000275.Google Scholar
Hale, J (1997) A layered communication architecture for the support of crisis response. Journal of Management Information Systems – Special Section: The Impacts of Business Process Change on Organizational Performance 14, 235255. Available at https://doi.org/10.1080/07421222.1997.11518160.Google Scholar
Han, J, Haihong, E, Le, G and Du, J (2011) Survey on NoSQL database. In 6th International Conference on Pervasive Computing and Applications, 363366. doi: 10.1109/ICPCA.2011.6106531.Google Scholar
Johnson, R (2000) GIS Technology for Disasters and Emergency Management. ESRI White Paper. Redlands, CA: ESRI.Google Scholar
Kerstholt, JH (1995) Decision making in a dynamic situation: the effect of false alarms and time pressure. Journal of Behavioral Decision Making 8, 181200.Google Scholar
Kim, J, Sharman, R, Rao, H and Upadhyaya, S (2007) Efficiency of critical incident management systems: instrument development and validation. Decision Support Systems 44, 235250. Available at http://dx.doi.org/10.1016/j.dss.2007.04.002.Google Scholar
Kolodner, J (1993) Case-Based Reasoning. San Francisco, CA: Morgan Kaufmann. Available at https://doi.org/10.1016/B978-1-55860-237-3.50001-7.Google Scholar
Lagadec, P (1991). La gestion des crises: outils de réflexion à l'usage des décideurs. McGraw-Hill. Available at http://www.patricklagadec.net/fr/Google Scholar
Li, Q (2013) Modélisation et Exploitation des Traces d ‘Interactions dans l ‘Environnement de Travail Collaboratif (Thèse de doctorat). Université de Technologie de Compiègne. Available at http://www.theses.fr/2013COMP2092.Google Scholar
Luzzardi, PRG & Dal Sasso Freitas, CM, Cava, RA, Duarte, GD and Vasconcelos, MH (2004) An extended set of ergonomic criteria for information visualization techniques. In Proceedings of the Seventh IASTED International Conference on Computer Graphics and Imaging, 236241. Available at http://infovis.ucpel.tche.br/luzzardi/InfoVis2003.pdf.Google Scholar
Matta, N, Ermine, JL, Aubertin, G and Trivin, JY (2001) How to capitalize knowledge with the MASK method? In IJCAI 2001 Workshop on Knowledge Management and Organizational Memories, 113 Seattle, Washington USA.Google Scholar
Matta, N, Ermine, JL, Aubertin, G and Trivin, JY (2002) Knowledge Management and Organizational Memories. in Knowledge Capitalization with a Knowledge Engineering Approach: The Mask Method. Springer US. 1728. Available at http://dx.doi.org/10.1007/978-1-4615-0947-9_2.Google Scholar
Matta, N, Loriette, S, Sediri, M, Nigro, JM, Barloy, Y, Cahier, JP and Hugerot, A (2012) Crisis Management experience based representation Road accident situations. In International Conference on Collaboration Technologies and Systems (CTS), 6167 Available at http://ieeexplore.ieee.org/ielx5/6247135/6261004/06261028.pdf?tp=&arnumber=6261028&isnumber=6261004.Google Scholar
Mille, A and Prié, Y (2006) Une théorie de la trace informatique pour faciliter l'adaptation dans la confrontation logique d'utilisation/logique de conception. In 13ème Journées de Rochebrune. Rochebrune, France.Google Scholar
Mitroff, II, Pauchant, T, Finney, M and Pearson, C (1989) Do (some) organizations cause their own crises? The cultural profiles of crisis-prone vs. crisis-prepared organizations. Organization & Environment 3, 269283. Available at https://doi.org/10.1177/108602668900300401.Google Scholar
Moehrle, S (2012) Generic self-learning decision support system for large-scale disasters. In Proceedings of the 9th International ISCRAM Conference on Information Systems for Crisis Response and Management, 15. Vancouver, Canada.Google Scholar
Naweed, A, Hockey, GRJ and Clarke, SD (2013) Designing simulator tools for rail research: the case study of a train driving microworld. Applied Ergonomics 44, 445454. Available at http://www.ncbi.nlm.nih.gov/pubmed/23107003.Google Scholar
Ollagnier-Beldame, M, Brassac, C and Mille, A (2014) Traces and activity: case study of a joint writing process mediated by a digital environment. Behaviour and Information Technology 33, 954957. Available at https://doi.org/10.1080/0144929X.2013.819528.Google Scholar
Oomes, AHJ (2004) Organization awareness in crisis management: Dynamic organigrams for more effective disaster response. In Proceedings ISCRAM 2004- 1st International Workshop on Information Systems for Crisis Response and Management, 6368. Brussels.Google Scholar
Otim, S and Hall, S (2006) A Case-Based Knowledge Management System for Disaster Management: Fundamental Concepts. In Proceedings of the 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management, 598604.Google Scholar
Reed, SK (2010) Cognition. Theories and Applications. Andover, Hampshire: Wadsworth Cengage learning.Google Scholar
Rennard, JP, Humbert, M and Duymedjia, R (2009) Simulation, Modélisation et Décision En pratique. Paris: Vuibert.Google Scholar
Richard, JF (1998) Les activités mentales. Comprendre, raisonner, trouver des solutions, 3rd ed., Paris: Armand Colin.Google Scholar
Roy, B and Bouyssou, B (1993) Aide Multicritere à la Décision. “Méthodes et Cas.”. Paris: Economica.Google Scholar
Sankar, KP and Simon, CKS (2004) Foundations of Soft Case-Based Reasoning. Hoboke, NJ: John Wiley & Sons, Inc.Google Scholar
Schmidt, K and Simonee, C (1996) Coordination mechanisms: towards a conceptual foundation of CSCW systems design. Computer Supported Cooperative Work (CSCW) 5, 155200. Available at https://doi.org/10.1007/BF00133655.Google Scholar
Schoenharl, T, Madey, G and Szabô, S (2006) WIPER: A Multi-Agent System for Emergency Response. In Proceedings of the 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management. Newark, NJ: Royal Flemish Academy of Belgium. 282287.Google Scholar
Schreiber, G and Wielinga, BJ (1996) SWI: making knowledge technology work. IEEE Expert: Intelligent Systems and Their Applications 11, 7476. doi: 10.1109/64.491284.Google Scholar
Schreiber, G, Wielinga, BJ, Akkermans, H, Walter, VV and Anjewierden, A (1994) CML: The CommonKADS Conceptual Modelling Language. In Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition EKAW, 125. Hoegaarden. Belgium.Google Scholar
Schreiber, G, Crubézy, M and Musen, MA (2000) A case study in using Protégé−2000 as a tool for CommonKADS. In Proceedings of the 12th European Workshop on Knowledge Acquisition Modeling and Management (EKAW'00). Springer-Verlag (Ed).Google Scholar
Sediri, M, Matta, N, Loriette, S and Hugerot, A (2012) Vers une représentation de situations de crise gérées par le SAMU. in Conférence « Ingénierie des Connaissances » (IC'2012). Paris.Google Scholar
Sediri, M, Matta, N, Loriette, S and Hugerot, A (2013) Crisis Clever, a System for Supporting Crisis Managers. In Proceedings of the 10th International ISCRAM Conference on Information Systems for Crisis Response and Management, 261265 Baden-Baden. Germany.Google Scholar
Sell, C and Braun, I (2009) Using a Workflow Management System to Manage Emergency Plans. In Proceedings of the 6th International ISCRAM Conference on Information Systems for Crisis Response and Management.Google Scholar
Simon, HA (1973) The structure of ill-structured problems. Artificial Intelligence 4, 181201.Google Scholar
Smith, D and Elliott, D (eds) (2006) Key Readings in Crisis Management: Systems and Structures for Prevention and Recovery. New York: Routledge. Available at http://www.thefreelibrary.com/Key+readings+in+crisis+management;+systems+and+structures+for…-a0153753111.Google Scholar
Stanton, NA, Salmon, PM, Walker, GH and Jenkins, D (2009) Genotype and phenotype schemata as models of situation awareness in dynamic command and control teams. International Journal of Industrial Ergonomics 39, 480489. Available at https://doi.org/10.1016/j.ergon.2008.10.003.Google Scholar
Studer, R, Benjamins, VR and Fensel, D (1998) Knowledge engineering: principles and methods. Data & Knowledge Engineering 25, 161197. Available at https://doi.org/10.1016/S0169-023X(97)00056-6.Google Scholar
Sun, Z and Finnie, G (2005) Experience Management in Knowledge Management, 14-16 September Melbourne, VIC, Australia, pp. 979986. Springer-Verlag Berlin Heidelberg.Google Scholar
Tulving, E and Thompson, DM (1973) Encoding specificity and retrieval processes in episodic memory. Psychological Review 80, 352373.Google Scholar
Turoff, M, Chumer, M, De Walle, Van B and Yao, X (2004) The design of a Dynamic Emergency Response Management Information System (DERMIS). Journal of Information Technology Theory and Application (JITTA) 5, Article 3. Available at http://aisel.aisnet.org/jitta/vol5/iss4/3.Google Scholar
Van der Henst, JB (2002) Contexte et Raisonnement. Guy, Politzer. Le Raisonnement humain, Hermes. pp. 135.Google Scholar
Zarka, R, Cordier, A, Egyed-Zsigmond, E and Mille, A (2011). Trace replay with change propagation impact in client/server applications. In Proceedings of the Conférence en Ingénierie des Connaissances IC'2011. Chambery. France.Google Scholar