Employee Driven Approach to “Knowledge Explication” in Elderly Care Service
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- Nishimura Satoshi
- Artificial Intelligence Research Center, National Institute for Advanced Industrial Science and Technology
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- Ohtani Hiroshi
- Medical Corporation, Hanamaru Group
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- Hatakeyama Naoto
- Medical Corporation, Hanamaru Group
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- Hasebe Kieko
- Medical Corporation, Hanamaru Group
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- Fukuda Ken
- Artificial Intelligence Research Center, National Institute for Advanced Industrial Science and Technology
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- Kitamura Yoshinobu
- College of Information Science and Engineering, Ritsumeikan University
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- Mizoguchi Riichiro
- Research Center for Service Science, Japan Advanced Institute of Science and Technology
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- Nishimura Takuichi
- Artificial Intelligence Research Center, National Institute for Advanced Industrial Science and Technology
Bibliographic Information
- Other Title
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- 現場主体の“知識発現”方法の提案
Abstract
<p>The amount of costs for long-term care is increasing because of aging society. It is important to improve quality of care process. We focus on sharing the knowledge of care process in care facility to achieve the goal. There are some issues to share the knowledge. (1) The knowledge is implicit on the care workers. (2) It is difficult to unite the knowledge as world standard because of its variety. We proposed the methodology of "knowledge explication" to overcome these issues. The methodology is (1) to explicate the knowledge of care process by employees in care facility. (2) It is performed on each care facility so they can explicate the facility-specific knowledge of care process. We applied the methodology to two care facilities and evaluate it. The explicated knowledge is 1.8 times more than the knowledge from textbook. We also confirmed the efficiency of the methodology by questionnaire to the participants.</p>
Journal
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 32 (4), C-G95_1-15, 2017
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390282680085894528
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- NII Article ID
- 130006887096
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- ISSN
- 13468030
- 13460714
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed