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Scenario Violation in Nursing Activities: Nursing Risk Management from the Viewpoint of Chance Discovery

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Abstract

This paper introduces scenarios that from a time series of events under a coherent context of performing nursing risk management. First, we describe general nursing risk management procedures. Then we review our previous nursing accident or incident protection model based on abduction. This paper extends the nursing accident or incident protection model by using the concept of scenario. That is, the model introduces chronological information in knowledge presentation. Then this paper regards a set of nursing activities as a scenario and characterizes a (nursing) accident or incident as a scenario violation. The main purpose of this paper is to present nursing risk management from the viewpoint of scenario violation in the context of chance discovery.

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References

  1. Abe A (2000) Abductive analogical reasoning. Syst and Comput in Japan 31(1): 11–19

    Article  Google Scholar 

  2. Abe A (2003) The role of abduction in chance discovery. New Gener Comput 21(1): 61–71

    Article  MATH  Google Scholar 

  3. Abe A, Kogure K, Hagita N (2004) Determination of a chance in nursing risk management. In: Proceedings. of ECAI2004 workshop on chance discovery, pp 222–231

  4. Abe A, Kogure K, Hagita N (2004) Nursing Risk prediction as chance discovery. In: Proceedings of KES2004, vol II, pp 815–822

  5. Brusoni V, Console L, Terenziani P, Dupré DT (1997) An efficient algorithm for temporal abduction. In: Proceedings of 5th congress of the Italian association for artificial intelligence, pp 195–206

  6. Accident or incident report Database (in Japanese). http://www. hiyari-hatto.jp/

  7. Chasen homepage (in Japanese). http://chasen.aist-nara.ac.jp/

  8. Failure Knowledge Database (mainly in Japanese). http://shippai. jst.go.jp/

  9. Kuwahara N et al (2004) Ubiquitous and wearable sensing for monitoring nurses’ activities. In: Proceedings of SCI2004, vol VII, pp 281–285

  10. Matsuoka K, Yokoyama S (2002) Analysis of incident data by medical data mining (No. 2) (in Japanese). Med Treat Insp Mach Reag V 25(4): 275–285

    Google Scholar 

  11. McBurney P, Parsons S (2003) Chance discovery and scenario analysis. New Gener Comput 21(1): 13–22

    MATH  Google Scholar 

  12. Naya F et al (2005) Nursing workflow analysis toward automatic classification of nursing work (in Japanese) In: JCMI25, 3-D-2-5

  13. Ohsawa Y, Benson NE, Yachida M (1998) KeyGraph: automatic indexing by co-occurrence graph based on building construction metaphor. In: Proceedings of advanced digital library conference (IEEE ADL’98), pp 12–18

  14. Ohsawa Y (2002) Chance discovery for making decisions in complex real world. New Gener Comput 20(2): 143–163

    MATH  Google Scholar 

  15. Ohsawa Y, Okazaki N, Matsumura N (2003) A scenario development on hapatics B and C. In: Technical report of JSAI, SIG-KBS-A301, pp 177–182

  16. Ohsawa Y, Nara Y (2000) Tools for shifting human context into disasters. In: Proceedings of KES2000.

  17. Ozaku HI, Sagara k, Naya F, Kuwahara N, Abe A, Kogure K (2005) Building dialogue corpora for nursing activity analysis. In: Proceedings of LINC-2005 Workshop, pp 41–48

  18. Ozaku HI, Sagara K, Kuwahara N, Abe A, Kogure K (2006) Nursing spoken corpora for understanding nursing assignments. In: Proceedings of NI2006 (to appear)

  19. Ozaku HI, Abe A, Sagara K, Kuwahara N, Kogure K (2006) Features of terminologies in actual nursing activities. In: Proceedings of LREC2006, (to appear)

  20. Park K, Hirai H, Ono S, Fujii T, Nishizawa Y (2002) analysis of safety management report by data mining method (in Japanese) In: Proceedings of 22nd JCM, pp 712–713

  21. Poole D, Goebel R, Aleliunas R(1987). Theorist: a logical reasoning system for defaults and diagnosis. In: Cercone NJ, McCalla G (eds). The knowledge frontier: essays in the representation of knowledge. Springer, Berlin Heidelberg Newyork, pp. 331–352

    Google Scholar 

  22. Quinlan JR (1993) C4.5: Programs for Machine Learning. Morgan Kaufman

  23. Reiter R, de Kleer J (1987) Foundation of assumption-based truth maintenance systems: preliminary report. In: Proceedings of AAAI87, 183–188

  24. Vincent C, Ennis M, Audley RJ ed. (1993) Medical accidents. Oxford University Press, Oxford

    Google Scholar 

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Correspondence to Akinori Abe.

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Abe, A., Ozaku, H.I., Kuwahara, N. et al. Scenario Violation in Nursing Activities: Nursing Risk Management from the Viewpoint of Chance Discovery. Soft Comput 11, 799–809 (2007). https://doi.org/10.1007/s00500-006-0122-2

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