Authors
Sophie Loriette, Nada Matta, Mohamed Sediri, Alain Hugerot,
Title
Crisis Clever System (CCS) - Tracking experience of crisis management for decision support
In
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Volume
33
Issue
2
Pages
188–205
Publisher
Cambridge University Press
Year
2019
Publisher's URL
https://www.cambridge.org/core/journals/ai-edam
Indexed by
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. Introduction
Affiliations
Offprint