PHR Based Diabetes Index Service Model Using Life Behavior Analysis

Due to our rapidly aging society, there has been an increasing need for preventive management of chronic diseases and management of individual health conditions. Among the chronic diseases, diabetes has become one of the most important illnesses in the modern era, and there is an increasing number of diabetes patients in all age groups. With increasing concern for ubiquitous health care services and the developing information technology, there has been a rapid increase in the convenience of preventive management for various types of disease and health conditions. In addition, demand for the management of chronic diseases by using internet of things devices has been increasing. In this study, a personal health record (PHR)-based diabetes index service model is suggested by analyzing lifestyles. For the method suggested in this study, a PHR-based mobile service for users is provided while developing the diabetes index model using lifestyle analysis. By utilizing the Korea National Health and Nutrition Examination Survey provided by the Ministry of Health and Welfare as a fundamental resource, this study analyzes the correlation and differentiation of a non-diabetic group and a diabetic group. For the selection of items in correlation, a multivariate analysis algorithm is used. A PHR related to health behavior and dietary habits in the same pattern is collected from users according to pre-chosen items. The Minkowski distance formula is used for the algorithm for PHR predictive analysis for users and chosen items. Resources on health conditions and dietary habits in the same pattern are collected from users, while calculating similarities among diabetes patients. By using the weight of calculated similarity, a diabetes index is derived. In addition, a management information service for preventing diabetes is offered through derived resources. A mobile application is developed from a smart health care platform to provide services at any time and any place. The mobile application’s interface is configured for users to conveniently enter the PHR and check their health conditions on a real-time basis. It is feasible for each user to check the results from feedback by using the PHR. This quantifies the diabetes index and provides information about desirable health behavior and dietary habits related to diabetes at the same time. Users are able to conveniently apply them in real life with the provided services. Therefore, it is available to improve the health conditions of users and to prevent disease.