April 2018 to March 2019

   The most important issue for ensuing sustainable growth in Japan is to implement reforms in the fields of health, medical care and nursing against a background of an aging society and increasingly sophisticated medical care, which are causing rapid increases in social security expenditure. To promote innovation in this field, the government advocates the use of information technology such as artificial intelligence and IoT. In the field of nursing, it is starting to work on “scientific nursing” whereby nursing is backed up by the effects of policies such as independence support through the collection and analysis of new data that is needed for scientific analysis.

   This research study is a tentative effort to support the creation of care plans that lead to independence by making use of white-box artificial intelligence, which can explain the rules discovered in machine learning. We will clarify the relationship between input data and output data by using white-box artificial intelligence, and by reflecting the knowledge and thinking processes of care managers. Based on data sources including assessment sheets and care plans, we worked on algorithms that can explain which short-term goals and service elements were effective in maintaining and improving independence, and we compiled the results in a report.