Abstract
In the objective of building care team guidelines from field observations, this paper introduces a representation method for describing the medical collaborative activities during an ICU patient management. An event-centered representation of medical activities is built during a 3-step procedure, successively involving an event-centered observation phase, an action extraction and coding phase, and an event and collaborative representation phase. This method has been used for analyzing the management of 24 cases of neurological and multiple traumas. We have represented the different actions of the medical team members (clinicians, nurses and outside medical consultants), underlining collaborative information management and the strong interaction between information management and medical actions. This method also highlights the difficulty of cases management linked to diagnosis severity, complexity of the situation and time constraints.
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De Clerq, P.A., Blom, J., Korsten, H., Hasman, A.: Approaches for creating computer-interpretable guidelines that facilitate decision-support. Artificial Intelligence in Medicine 31, 1–27 (2004)
AGREE collaboration: Appraisal of Guidelines Research and Evaluation (AGREE) obtained in, http://www.agreecollaboration.org/intro/
Wang, D., Peleg, M., Tu, S.W., Boxwala, A., Greenes, R., Patel, V.L., Shortliffe, E.: Representation Primitives, Process Models and Patient Data in Computer-Interpretable Clinical Practice Guidelines: A Literature Review of Guideline Representation Models. International Journal of Medical Informatics 68, 59–70 (2002)
Bullock, R.: Joint Section on Trauma and Critical Care of the American Association of Neurological Surgeons and the Brain Trauma Foundation. Guidelines for the Management of Severe Head Injury. American Association of Neurological Surgeons, Park Ridge Ill (2000)
Albanese, J., Arnaud, S.: Traumatisme crânien chez le polytraumatisé. In: Sfar (ed.) Conférences d’actualisation. 41ème congrès d’anesthésie et de réanimation, Paris, pp. 737–763 (1999)
Xiao, Y., Milgram, P., Doyle, D.J.: Planning Behavior and Its Functional Role in the Interaction with Complex Systems. IEEE Trans. on Syst., Man, and Cybern., Part A: Systems and Humans 27, 313–324 (1997)
Busse, D.K., Johnson, C.W.: Identification and Analysis of Incidents in Complex, Medical Environments. In: Johnson, C.W. (ed.) First Workshop on Human Error and Clinical Systems, Glasgow, pp. 101–120 (1999)
Patel, V.L., Kaufman, D.R., Arocha, J.F.: Emerging paradigms of cognition in medical decision-making. Journal of Biomedical Informatics 35, 52–75 (2002)
Gaba, D.M., Howard, S.K.: Situation awareness in Anesthesiology. Human Factors 37, 20–31 (1995)
Bricon-Souf, N., Renard, J.M., Beuscart, R.: Dynamic Workflow Model for complex activity in intensive care unit. International Journal of Medical Informatics 53, 143–150 (1999)
Cicourel, A.V.: The Integration of Distributed Knowledge in Collaborative Medical Diagnosis. In: Galegher, J., Kraut, R.E., Egido, C. (eds.) Intellectual Teamwork. Lawrence Erlbaum Associates, Hillsdale NJ, USA, pp. 221–242 (1990)
Reddy, M.C., Dourish, P., Pratt, W.: Coordinating Heterogeneous Work Information and Representation in Medical Care. In: Prinz, W., Jarke, M., Rogers, Y., Schmidt, K., Wulf, V. (eds.) Proceedings of 7th the European Conference on Computer Supported Cooperative Work-ECSCW 2001, Bonn, Germany, pp. 239–258 (2001)
Blandford, A., Wong, W.: Situation awareness in emergency medical dispatch. Int. J. Human-Computer Studies 61, 421–452 (2004)
Chaudet, H.: STEEL: A spatio-temporal extended event language for tracking epidemic spread from outbreak reports. In: Hahn, U. (ed.) Proceedings of KR-MED 2004, First International Workshop on Formal Biomedical Knowledge Representation, Whistler, BC, Canada, pp. 21–30 (2004), Obtained in, http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS//Vol-102/chaudet.pdf
Xiao, Y., Seagull, F.J., Mackenzie, C.F., Klein, K.: Adaptive leadership in trauma resuscitation teams: a grounded theory approach to video analysis. Cognition, Technology & Work 6, 158–164 (2004)
Manser, T., Wehner, T.: Analysing action sequences: Variations in Action Density in the Administration of Anaesthesia. Cognition Technology & Work 4, 71–81 (2002)
Ewing, G., Ferguson, L., Freer, Y., Hunter, J., McIntosh, N.: Observational Data Acquired on a Neonatal Intensive Care Unit, University of Aberdeen Computing Science Departmental Technical Report TR 0205 (2002)
Hoc, J.M., Carlier, X.: Role of common frame of reference in cognitive cooperation: sharing tasks between agents in air traffic control. Cognition, Technology & Work 4, 37–47 (2002)
Van Oosterhout, E.M.W., Talmona, J.L., de Clercq, P.A., Schouten, H.C., Tangea, H.J., Hasmana, A.: Three-Layer Model for the design of a Protocol Support System. International Journal of Medical Informatics 74, 101–110 (2005)
Dojat, M., Ramaux, N., Fontaine, D.: Scenario recognition for temporal reasoning in medical domains. Artificial Intelligence in Medicine 14, 139–155 (1998)
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Pellegrin, L., Bonnardel, N., Antonini, F., Albanèse, J., Martin, C., Chaudet, H. (2005). EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_15
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DOI: https://doi.org/10.1007/11527770_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27831-3
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