Health Behavior Change of the Elderly Based on Data Using IoT: The Tekuteku Beacon Project

Abstract

Internal shock such as the aging of the population and changes in lifestyle, and external shock such as the spread of infectious diseases (COVID-19) and changes in the economy, have a significant impact on health and the health system that supports it. There is a need for a system that can flexibly respond to these internal and external shock and support sustainable health. Currently, as the population ages, the need for medical and nursing care resources is increasing, and the social burden is becoming greater. With limited resources, health data is expected to be utilized to solve health issues associated with aging. Medical receipt data and long-term nursing care data held by local governments and other insurers have a large sample size, but the number of items is small, making it difficult to link them with external data. On the other hand, data acquired at the place of daily living requires a large amount of effort to acquire, but can be linked with external data to design behavioral interventions that are more in-depth into daily life. We are currently working on the “Tekuteku Beacon Project,” which aims to nudge health behavior change by acquiring behavioral data using IoT and smart tablets and linking it with medical and longterm nursing care data at facilities where independent elderly people live. In this session, we plan to introduce the behavior change interventions that can be designed based on the behavioral data of the elderly and the remaining issues.