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What Should Be Abducible for Abductive Nursing Risk Management?

  • Akinori Abe
  • Hiromi Itoh Ozaku
  • Noriaki Kuwahara
  • Kiyoshi Kogure
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

Abstract

In this paper, we analyze the hypothesis features of dynamic nursing risk management. In general, for risk management, static risk management is adopted. However, we cannot manage novel or rare accidents or incidents with general and static models. It is more important to conduct dynamic risk management where non-general or unfamiliar situations can be dealt with. We, therefore, propose an abductive model that achieves dynamic risk management where new hypothesis sets can be generated. To apply such a model to nursing risk management, we must consider types of newly generated hypotheses because sometimes newly generated hypotheses might cause accidents or incidents. We point out the preferable hypotheses features for nursing risk management.

Keywords

Risk Management Electronic Medical Recording System Chance Discovery Hypothetical Reasoning Hypothesis Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Akinori Abe
    • 1
  • Hiromi Itoh Ozaku
    • 1
  • Noriaki Kuwahara
    • 1
  • Kiyoshi Kogure
    • 1
  1. 1.ATR Media Information Science LaboratoriesKyotoJapan

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