Risk management by focusing on critical words in nurses' conversations

  • Authors:

  • Akinori Abe;Futoshi Naya;Hiromi Itoh Ozaku;Kaoru Sagara;Noriaki Kuwahara;Kiyoshi Kogure

  • Affiliations:

  • ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan;Seinan Jo Gakuin Univ., Fukuoka, Japan;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2005

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Abstract

This paper proposes another dynamic prediction procedure that observes nurses' conversations to determine critical points in nursing accidents or incidents. The points would be be suggested by words that have a certain feature. We regard such words that might cause accidents or incidents as chances. This paper analyzes these types of words and describes their features to dynamically determine the point at which an accident or incident occurs.