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Discussion About the Application of Big Data in Information Management System of Disease Control and Prevention Laboratory in Guizhou Province

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Signal and Information Processing, Networking and Computers (ICSINC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 494))

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Abstract

This paper discusses how to utilize the big data technology to discover some key problems concerning the data value during the construction of information management system of Center for Disease Control and Prevention (CDC) Laboratory in Guizhou Province. Depending on the laboratory information management system (LIMS), all levels of CDC in Guizhou province jointly carry out related business work within the framework of networked laboratories to realize the standardization of laboratory data and the comprehensive utilization of data across regions and levels. The realization of “unified deployment, unified construction, unified technology, unified management, unified maintenance” of limited resources integration, effectively avoids duplication of construction.

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References

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Acknowledgement

This work was supported by the R&D Infrastructure and Facility Development Program of Guizhou Province, China (Grant No. [2016]5705), the Key Technology Research and Development Program of Science and Technology Bureau of Guizhou Province, China (Grant No. [2017]2972), the National Key Research and Development Project (Grant No. 2016YFF0202500) and the National Key Research and Development Project (Grant No. 2016YFF0201400).

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Correspondence to Hua Guo .

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Guo, H. et al. (2019). Discussion About the Application of Big Data in Information Management System of Disease Control and Prevention Laboratory in Guizhou Province. In: Sun, S. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2018. Lecture Notes in Electrical Engineering, vol 494. Springer, Singapore. https://doi.org/10.1007/978-981-13-1733-0_24

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  • DOI: https://doi.org/10.1007/978-981-13-1733-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1732-3

  • Online ISBN: 978-981-13-1733-0

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