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Ontology Based Integration of Residential Care of the Elderly System in Long-Term Care Institutions

Nan-Chen Hsieh 1, Rui-Dong Chiang 2, and Wen-Pin Hung 2
1. National Taipei University of Nursing and Health Sciences, Taiwan
2. Department of Computer Science and Information Engineering, Tamkang University, Taiwan
Abstract—The problem of global aging of population derived many health care problems. Many countries well aware of the healthcare for elderly population are an extremely important issue. The most important task for long-term care services in the institution are to assess the physical and mental states, and provide the suitable care plans for residents. The application of health information technology can help staffs of long-term care institution to arrange daily care of residents, and provide better personalized care. In this study, we proposed a three-stage ontology development approach that allows members of the interdisciplinary teams to elicit static and dynamic knowledge semantically. So we designed and built a Residential Care of the Elderly System through the concept of different types of care for resident assessment which grades individuals in terms of the severity of five functional status assessment aspects of mental, movement, eating, toilet and medical treatments. We not only can help care staffs understand the needs of residents, but also make personalized care plans and weekly care schedules, in order to achieve the aims of comprehensive assessments and personalized care services. Moreover, resident care quality, care personnel work efficiency, and institution management efficiency can all be improved as a result of the completion of RCES.

Index Terms—ontology, resident assessment, long-term care institution

Cite: Nan-Chen Hsieh, Rui-Dong Chiang, and Wen-Pin Hung, "Ontology Based Integration of Residential Care of the Elderly System in Long-Term Care Institutions," Vol. 6, No. 3, pp. 96-102, August, 2015. doi: 10.12720/jait.6.3.96-102
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