Toward a Nationwide Mobile-Based Public Healthcare Service System with Wireless Sensor Networks

Author:

Shen Chien-wen1,Hsu Chin-Hsing1,Chou Ching-chih2,Tsai Tzu-Chun3

Affiliation:

1. Department of Business Administration, National Central University, No. 300, Zhongda Road, Taoyuan 32001, Taiwan

2. TSL School of Business and Information Technology, Quanzhou Normal University, Quanzhou 362000, China

3. Institute of Clinical Medicine and School of Medicine, National Yang-Ming University, Taipei 11221, Taiwan

Abstract

This paper describes the development of a nationwide public healthcare service system with the integration of cloud technology, wireless sensor networks, and mobile technology to provide citizens with convenient and professional healthcare services. The basic framework of the system includes the architectures for the user end of wireless physiological examinations, for the regional healthcare cloud, and for national public healthcare service system. Citizens with chronic conditions or elderly people who are living alone can use the wireless physiological sensing devices to keep track of their health conditions and get warning if the system detects abnormal signals. Through mobile devices, citizens are able to get real-time health advice, prompt warning, health information, feedback, personalized support, and intervention ubiquitously. With the long-term tracking data for physiological sensing, reliable prediction models for epidemic diseases and chronic diseases can be developed for the government to respond to and control diseases immediately. Besides, such a nationwide approach enables government to have a holistic understanding of the public health information in real time, which is helpful to establish effective policies or strategies to prevent epidemic diseases or chronic diseases.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Contextual Determinants of E-Entrepreneurship;International Journal on Semantic Web and Information Systems;2019-07

3. A Process Mining Based Service Composition Approach for Mobile Information Systems;Mobile Information Systems;2017

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