An Empirical Study on the Performance Evaluation of Introducing Artificial Intelligence Medical Service System into Medical Ecological Environment

Chich-Jen Shieh, Guang-Sheng Wan, Wei Wang, Yuzhou Luo

Ekoloji, 2019, Issue 107, Pages: 183-189, Article No: e107074


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Under the advance of time, development of science and technology, and popularity of network, the combination of medical ecological environment and information & communication technology provides diverse medical care services for the public. Having the elderly receive diverse medical services in neighboring communities, under constantly increasing medical expenses becomes the common objective of various countries. An artificial intelligence medical service system might be the ideal tool to actualize local aging. Taking prefecture-level cities in Shanghai as samples, total 16 DMUs are studied. With the operation of Modified Delphi Method, the geometric mean is used as the consensus of experts’ input/output evaluation; and, DEA is applied to evaluate the performance on the introduction of artificial intelligence medical service system into medical ecological environment. The research results conclude that one DMU presents strong efficiency on the introduction of artificial intelligence medical service system into medical ecological environment, 6 DMUs reveal the efficiency in 0.9-1, and 9 DMUs appear the efficiency lower than 0.9. Slack Variable Analysis is further applied to improve excess and short inputs of prefecture-level cities. According to the results, suggestions are proposed, expecting that medical staff could real-time grasp the physiological state and offer timely assistance to reduce medical costs, promote the quality of life of people in communities, and improve doctor-patient interactive relationship.


medical ecological environment, artificial intelligence medical service system, performance evaluation, medical service


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