| Summary: | 碩士 === 國立中正大學 === 資訊管理學系暨研究所 === 100 === According to the Health Statistics, in the end of 2010, the elderly of age 65 is more than 10.74% of all population in Taiwan. Moreover, the percentage of suffering from more than one chronic disease is up to 88.7%.
It seems to be a serious warning from aging society into old-age society in Taiwan. Therefore, the life style changes including oversized urbanization and unhealthy eating patterns might result in the dramatically increasing percentage of chronic illness population gradually, even for the younger population. The prevalence of chronic diseases which were closed related with individual lifestyle including smoking, obesity, improper diet, lack of exercise.Although health administration and certain health care organizations provide several health education programs, probably by the lack of manpower and other resources, the general outcome were not cost-effective.
This empirical study was aimed at constructing a mobile multi-agent health education system for Diabetes Mellitus patient in detection and prevention functions. The designed system could easily download and install on so-called individual ” Smart cellular phone”, with which multi-agent mechanism, it can be executed self detection of risk factors as well as provided health education programs including assisting medication, setting diet, exercise or health , especially in monitoring the in-time condition. Then the system might be connected other local health information work stations to establish a comprehensive health education platform or network in sharing health information.
The implemented system featured with three significant characteristics as following:
1. To detect and monitor at earlier stage of the urgent condition in time and to provide medical assistance for high risk or potential groups if necessary.
2. To empower personal health status in response to environmental changes and to enhance the abilities in health education programs.
3. To be easily integrated with other health education resources by the designed multi-agent and flexible expansion functions.
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