What should be abducible for abductive nursing risk management?

  • Authors:

  • Akinori Abe;Hiromi Itoh Ozaku;Noriaki Kuwahara;Kiyoshi Kogure

  • Affiliations:

  • ATR Media Information Science Laboratories, Kyoto, Japan;ATR Media Information Science Laboratories, Kyoto, Japan;ATR Media Information Science Laboratories, Kyoto, Japan;ATR Media Information Science Laboratories, Kyoto, Japan

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2006

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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.