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EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations

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Artificial Intelligence in Medicine (AIME 2005)

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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References

  1. 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)

    Article  Google Scholar 

  2. AGREE collaboration: Appraisal of Guidelines Research and Evaluation (AGREE) obtained in, http://www.agreecollaboration.org/intro/

  3. 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)

    Article  Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Gaba, D.M., Howard, S.K.: Situation awareness in Anesthesiology. Human Factors 37, 20–31 (1995)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Google Scholar 

  13. Blandford, A., Wong, W.: Situation awareness in emergency medical dispatch. Int. J. Human-Computer Studies 61, 421–452 (2004)

    Article  Google Scholar 

  14. 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

  15. 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)

    Google Scholar 

  16. Manser, T., Wehner, T.: Analysing action sequences: Variations in Action Density in the Administration of Anaesthesia. Cognition Technology & Work 4, 71–81 (2002)

    Article  Google Scholar 

  17. 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)

    Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. Dojat, M., Ramaux, N., Fontaine, D.: Scenario recognition for temporal reasoning in medical domains. Artificial Intelligence in Medicine 14, 139–155 (1998)

    Article  Google Scholar 

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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

  • Online ISBN: 978-3-540-31884-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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