Study on symptom monitoring module construction and design of infectious disease surveillance system
CHEN Chongde GAO Xing WANG Yan HU Hongpu▲
Health Information Management Research Office, Institute of Medical Information, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100020, China
Abstract：Infectious diseases have been one of the most important threats to mankind for a long time, its prevention and control is of great importance. However, the early warning ability of the direct reporting system of infectious diseases in China is not comprehensive at present, and it still needs to be upgraded and improved. In this study, based on the literature review, taking the symptom assignment matrix of infectious diseases established according to the principle of symptom monitoring as the core, a symptom monitoring module model of infectious disease surveillance system is constructed, which is composed of four parts of information input and human-computer interaction, symptom recognition and semantic standardization, disease judgment matrix based on patients’ symptoms, and output and subsequent decision-making and disposal, including the functions of symptom semantic standardization, disease identification according to symptoms, epidemiological data collection, automatic information reporting and comprehensive intelligent judgment. The model can simulate the expert clinical diagnosis and treatment judgment, and perform auxiliary differential diagnosis for similar diseases according to the symptoms of patients, so as to strengthen the probability of infectious disease identification by grass-roots health personnel, and further reduce the layout depth of infectious disease identification to the bottom of the national health coverage network, so as to improve the efficiency of infectious disease monitoring and response system.
陈崇德 高星 王岩 胡红濮▲. 传染病监测系统症状监测模块构建设计研究[J]. 中国医药导报, 2022, 19(15): 179-182,196.
CHEN Chongde GAO Xing WANG Yan HU Hongpu▲. Study on symptom monitoring module construction and design of infectious disease surveillance system. 中国医药导报, 2022, 19(15): 179-182,196.
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