Analysis of Smart Health Research Context and Development Trend Driven by Big Data

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Abstract

In the context of new healthcare reform in China, smart health has gradually developed into a necessary link for health service. To comb the research context of smart health based on academic achievements and to explore the development priority of the leading research will help to perfect the theoretical studies and practical applications of smart health. Through Python crawler technology, accessed 922 documents as a data source from CNKI; Using word segmentation, statistical techniques, visualization analysis research context; CiteSpace V software is used to analyze the research profile and development priority from the literature sources, cooperation teams and key words. Through the qualitative analysis of research context and the quantitative analysis of the number of different types of literature, it reveals the process of the development of smart health from the theoretical start, idea formation, practical application, technological progress, cross-border cooperation to the final relatively stable. But found some problems such as underutilization of data, lack of informationization of critical illness, low recognition of family health systems, and problems between government and patients. Therefore, we should strengthen the government’s promotion, application stability, hospital data information processing ability, etc. in the development priority. These foreseeability trend and development context will provide new ideas for theoretical research and make up for the deficiencies in practical application.

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Qu, Y., Fan, M., Zhang, X., & Ji, W. (2019). Analysis of Smart Health Research Context and Development Trend Driven by Big Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11924 LNCS, pp. 142–154). Springer. https://doi.org/10.1007/978-3-030-34482-5_13

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