Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysi...Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.展开更多
基金This research is supported by supported by Shanghai Jiao Tong University funding project[16JCCS08]the Shanghai Institute of Precision Measurement Project under grant number[SAST2017-128].
文摘Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.
