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      Formalizing collaboration in decision-making: a case study in military epidemiological early warning

      1 , 2 , 2 , 4 , 4 , 5 , 2 , 3 , 2 , 3 , 2 , 3

      9th Bi-annual International Conference on Naturalistic Decision Making (NDM9) (NDM)

      Naturalistic Decision Making (NDM9)

      23 - 26 June 2009

      Complex and time-constrained situation, medical decision, collaborative work, task coordination, epidemiological early warning system

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          Motivation –This paper introduces the resolution of a medical complex, uncertain and time-constrainted situation: the early warning outbreak in military deployments. Research approach. We have studied a simulated alarm occurring in the Department of Epidemiology in the Institute of Tropical Medicine of the French Forces, managed by physicians belonging to this department. A task analysis method has been developed to identify and describe components of medical activities, performed by medical teams. This method, called EORCA, is based upon the systematic observation of “event”, describing performance of actions by agents. Findings/Design. The results indicate that the situation management is based upon collaborative activities. Managing an epidemiological early warning is a collective and complex activity. It requires numerous information transmissions between members of the team to identify diseases and to prepare adequate actions in a context of uncertainty events and short interval of time.

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          Most cited references 9

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          Distributed coordination space: Toward a theory of distributed team process and performance

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            SPECIAL SECTION: Task Complexity in Emergency Medical Care and Its Implications for Team Coordination

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              Dynamic Decision-Making in Anesthesiology: Cognitive Models and Training Approaches

               David Gaba (1992)

                Author and article information

                June 2009
                June 2009
                : 273-280
                [ 1 ]Département de Télémedecine

                Institut de Médecine Navale du Service de Santé des Armées

                (IMNSSA), TOULON
                [ 2 ]Laboratoire d’Enseignement et de Recherche sur le

                Traitement de l’Information Médicale (LERTIM, - EA 3283)

                Faculté de Medecine, Université de la Méditerranée
                [ 3 ]

                Unité de Recherche Epidémiologique - Département d’Epidémiologie et de Santé Publique

                Institut de Médecine Tropicale du Service de Santé des Armées (IMTSSA)
                [ 4 ]

                Centre de Recherche en Psychologie de la

                Connaissance, du Langage et de l’Émotion (PSYCLE,

                E.A- 3273)

                Université de Provence
                [ 5 ]Institut Universitaire de France

                © Liliane Pellegrin et al. Published by BCS Learning and Development Ltd. 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9), BCS London

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

                9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)
                BCS London
                23 - 26 June 2009
                Electronic Workshops in Computing (eWiC)
                Naturalistic Decision Making (NDM9)
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page):
                Electronic Workshops in Computing


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