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Abstrakty
Many medical accidents and incidents occurred due to communication errors. To avoid such incidents, in this paper, we propose a system for determining communication errors. Especially, we propose a model that can be applied to multi-layered or chained situations. First, we provide an overview of communication errors in nursing activities. Then we describe the warp and woof model for nursing task that was proposed by Harada and considers multi-layered or chained situations. Next we describe a system for determining communication errors based on the warp and woof model for nursing task. The system is capable of generating nursing activity diagrams semiautomatically and compiles necessary nursing activities. We also propose a prototype tagging of the nursing corpus for an effective generation of the diagrams. Then we combine the diagram generation with the Kamishibai KeyGraph to determine possible points of the hidden or potential factors of communication errors.
Wydawca
Czasopismo
Rocznik
Tom
Strony
123--142
Opis fizyczny
Bibliogr. 22 poz., wykr.
Twórcy
autor
autor
autor
autor
autor
autor
- ATR Knowledge Science Laboratories 2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan, ave@ultimaVI.arc.net.my
Bibliografia
- [1] Abe A., Ozaku H.I., Kuwahara N., and Kogure K., Relation between Abductive and Inductive Types of Nursing Risk Management, New Frontiers in Artificial Intelligence Joint JSAI 2006 Workshop Post-Proceedings (Washio T., Satoh K., Takeda H., and Inokuchi A. eds.) (LNAI 4834), 2007, 387-400.
- [2] Abe A, Hagita N, FurutaniM, Furutani Y, andMatsuoka R., Possibility of Integrated Data Mining of Clinical Data, Data Science Journal, Vol. 6, Supplement, 2007, S104-S115.
- [3] Abe A., Ozaku H.I., Sagara K., Kuwahara N., and Kogure K., Nursing Risk Management by Focusing on Critical Words or Phrases in Nurses' Conversations, Int'l J. of Knowledge-based and Intelligent Engineering Systems, Vol. 11, No. 5, 2007, 281-289.
- [4] Cheng M., Ozaku H.I., Kuwahara N., Kogure K., and Ota J., Simulated Annealing Algorithm for Scheduling Problem in Daily Nursing Cares, Proc. of SMC2008, 2008, 1681-1687.
- [5] de Kleer J., An Assumption-based TMS, Artif. Intell., Vol.28, 1986, 127-162.
- [6] Gelfond M. and Lifschitz V., Representing Actions And Change by Logic Programs, J. of Logic Programming, Vol. 17, 1993, 301-321.
- [7] Harada E., Shigemori M., andWatanabe H., Nursing task model for preventing a medical accident: proposal of "warp and woof" model, The Japanese Journal of Nursing Research, 37(2), 2004, 93-97, in Japanese.
- [8] Japan Academy of Nursing Science eds., Classification of Nursing Practice, Japan Academy of Nursing Science, 2005, in Japanese.
- [9] Japane Nursing Association eds., Nursing Practice Classification Table, Japane Nursing Association, 2004, in Japanese.
- [10] Kogure K., Toward A Knowledge Sharing System Based on Understanding Everyday Activities and Situations.- Introduction to the E-Nightingale Project, Proc. of KSEL2006, 2006, 1-8.
- [11] Kuwahara N. et al., Ubiquitous andWearable Sensing forMonitoring Nurses' Activities, Proc. SCI2004, Vol. VII, 2004, 281-285.
- [12] Kuwahara N., Ohboshi N., Osaku H.I., Naya F., Abe A., and Kogure K., Verifying Nursing Activities based on NursingWorkflow Model for Detecting Errors, in Context-Aware Computing and Self-Managing Systems (Dargie W. eds.), Chapter 2, CRC Press, 2009, 15-40.
- [13] Matsuo T., Communication error and error recovery procedure, handout, Hokkaido Nursing Association Risk management training course, 2005, in Japanese.
- [14] Naya F., Ohumra R., Takayanagi F., Noma H., and Kogure K., Workers' Routine Activity Recognition using Body Movements and Location Information, Tenth IEEE International Symposium on Wearable Computers (ISWC2006), 2006, 105-108.
- [15] Ohsawa Y., Benson N. E. and YachidaM., KeyGraph, Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor, Proc. Advanced Digital Library Conference (IEEE ADL'98), 1998, 12-18.
- [16] Osawa Y. and McBurney P. eds., Chance Discovery, Springer Verlag, 2003.
- [17] Ohsawa Y., Ito T., and Kamata M.: Kamishibai KeyGraph as Scenario Map Visualizer for Detecting Transient Causes from Sequential Data, Proc. of PAKDD 2008 Working Notes of Workshops on Data Mining for Decision Making and Risk Management, 2008, 272-283.
- [18] Ozaku H.I., Sagara K., Naya F., Kuwahara N., Abe A., and Kogure K., Building Dialogue Corpora for Nursing Activity Analysis, Proc. of LINC-2005 Workshop, 2005, 41-48.
- [19] Ozaku H.I., Abe A., Sagara K., Kuwahara N., and Kogure K., A Task Analysis of Nursing Activites Using Spoken Corpora, Advances in Natural Language Processing, Research in Computing Science, Vol. 18, 2006 125-136.
- [20] Ozaku H.I., Sagara K., Kuwahara N., Abe A., and Kogure K., Nursing Spoken Corpora for Understanding Nursing Assignments, Proc. of NI2006, 2006, 481-485.
- [21] Database of accident and incident reports, http://www.hiyari-hatto.jp/, in Japanese.
- [22] Psychology of Patient Safety News Letter, Vol. 13, 2004, in Japanese.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0010-0008