Demonstration of Frailty Detection Using Electricity Data and AI Begins toward the Realization of Long-term Care Prevention Projects in Matsumoto City, Nagano Prefecture in May 2022
April 22, 2022
Chubu Electric Power Co., Inc.
Japan Data Science Consortium Co. Ltd.
Matsumoto City (Mayor: Yoshinao Gaun), Chubu Electric Power Co., Inc. (President: Kingo Hayashi; "Chubu Electric Power"), necolico LLC (Representative Partner: Chubu Electric Power; Executor: Hideaki Kimata;"necolico") and Japan Data Science Consortium Co. Ltd. (Representative Director: Satoshi Erdös Kato;"JDSC") signed an agreement today to conduct a demonstration of frailty detection using electricity usage data ("electricity data"). The demonstration will begin in May 2022, targeting 100 households.
In 2013, Matsumoto City declared itself a city of healthy life expectancy extension, and has been promoting community development that respects the lives and livelihood of each and every citizen. The 11th Basic Plan, which was formulated in 2021, includes data-based health promotion and promotion of frailty prevention.
In addition, six areas of Wada, Niimura, Hata, Azusagawa, Azumi, and Nagawa have been designated as "model areas for preventing frailty" since this fiscal year, and are actively participating in the national demonstration program and preventing frailty in cooperation with medical institutions.
On the other hand, COVID-19 pandemic has made it difficult to maintain contact with the elderly, such as visits by staff and lectures on frailty prevention. That has hindered identifying frailty early and comprehensively and providing encouragement for prevention and improvement, which are important in long-term care prevention projects.
Therefore, through this agreement, Matsumoto City will utilize electricity data and AI-based frailty detection technology developed by Chubu Electric Power, necolico, and JDSC in Toin-cho, Mie Prefecture, etc., to identify elderly people who are presumed to have frailty early and comprehensively, so that the city staff can provide appropriate encouragement for prevention and improvement.
Recruitment of monitors will begin in early May 2022, and a demonstration will be conducted from mid-May 2022 to the end of March 2023, targeting 100 elderly households living alone who have agreed to participate in the six model areas for preventing frailty.
The four parties will aim to reduce the costs of medical and long-term care benefit while improving the health of citizens through early detection of elderly persons at high risk of frailty.