Abstract
It is ideal to provide medical services as patient-oriented. The medical staff share the goal to help patients recover. Toward that goal, each staff members uses practical knowledge to achieve patient-oriented medical services. But each medical staff members have his/her own priorities and sense of values, that are derived from their expertise. And the results (decisions or actions) based on practical knowledge sometimes conflict. The aim of this research is to develop an intelligent system to support externalizing practical wisdom, and sharing this wisdom among medical experts. In this paper, the authors propose a method to model each medical staff member’s sense of values as his/her way of task-grasp (or task-perception) in medical service workflow, and to obtain the practical knowledge using ontological models. The method was tested by developing a knowledge-sharing system based on the method and running it at Miyazaki University Hospital.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yoshikawa, H.: Introduction to service science (in japanese). Journal of the Japanese Society for Artificial Intelligence 23(6), 111–121 (2008)
Gennari, J.H., et al.: The evolution of protégé: An environment for knowledge-based systems development. International Journal of Human-Computer Studies 58(1), 89–123 (2003)
Schreiber, G., et al.: Knowledge Engineering and Management: The CommonKADS Methodology. MIT Press (2000)
Chandrasekaran, B.: Generic tasks in knowledge-based reasoning: High-level building blocks for expert system design. IEEE Expert 1(3), 23–30 (1986)
Mizoguchi, R.: Tutorial on ontological engineering - part 1: Introduction to ontological engineering. New Generation Computing 21(4), 365–384 (2003)
Coffey, R.R.: An introduction to critical paths. Quality Management in Health Care 14(1), 46–55 (2005)
Hasida, K.: Semantic Authoring and Semantic Computing. In: Sakurai, A., Hasida, K., Nitta, K. (eds.) JSAI 2003. LNCS (LNAI), vol. 3609, pp. 137–149. Springer, Heidelberg (2007)
Musen, M.A., et al.: Chapter 20: Clinical Decision-Support Systems in “Biomecical Informatics”. Springer, New York (2006)
Tu, S.W., et al.: The sage guideline model: Achievements and overview. Journal of the American Medical Informatics Association 14(5), 589–598 (2007)
Hurley, K., Abidi, S.S.R.: Ontology engineering to model clinical pathways: Towards the computerization and execution of clinical pathways. In: Proc. in the Twentieth IEEE International Symposium on Computer-Based Medical Systems, pp. 536–541 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ogawa, T., Yamazaki, T., Ikeda, M., Suzuki, M., Araki, K., Hasida, K. (2011). Acquisition of Practical Knowledge in Medical Services Based on Externalizing Service Task-Grasp of Medical Staff. In: Theeramunkong, T., Kunifuji, S., Sornlertlamvanich, V., Nattee, C. (eds) Knowledge, Information, and Creativity Support Systems. Lecture Notes in Computer Science(), vol 6746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24788-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-24788-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24787-3
Online ISBN: 978-3-642-24788-0
eBook Packages: Computer ScienceComputer Science (R0)