The An ICT-based supporting system for home-nursing services
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Abstract
These days, the demand for home nursing in Japan has increased significantly. Along the
increase, the shortages of staff and inefficiency of operations have become serious problems.
This study aims to develop a system to support the operational efficiency of home nursing.
As a thing being of particular importance, we focus on producing a summarized report of a
patient’s presenting symptom for a medical doctor with several nurses’ notes that include
unstructured data. A manual process of making the report imposes excessive burdens on
nurses. However, the unstructured data contains crucial information, the course of symptoms.
In this paper, we demonstrated an analysis of symptom courses, which includes extracting
sentences about symptoms and classifying the status of symptoms. Experimental outcomes
show that status classification works well, but there is room for improvement in both
symptom extraction and status classification. As a future work, to improve the accuracy of
symptom name extraction by human annotation and symptom classification by learning word
dependencies. The symptom analysis system will contribute to support the time-consuming
paperwork in home nursing.
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