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

      proceedings-article
      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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            Abstract

            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.

            Content

            Author and article information

            Contributors
            Conference
            June 2009
            June 2009
            : 273-280
            Affiliations
            [ 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

            Paris
            Article
            10.14236/ewic/NDM2009.40
            4773e7cc-3d46-49b0-aab9-7ca06b05cba7
            © 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 http://creativecommons.org/licenses/by/4.0/

            9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)
            NDM
            9
            BCS London
            23 - 26 June 2009
            Electronic Workshops in Computing (eWiC)
            Naturalistic Decision Making (NDM9)
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/NDM2009.40
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Complex and time-constrained situation,task coordination,medical decision,epidemiological early warning system,collaborative work

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