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Research on Multi-agency Data Fusion Mode Under Regional Medical Integration

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Multimedia Technology and Enhanced Learning (ICMTEL 2021)

Abstract

2020 is not only the stage of intensive implementation of medical informatization related policies, but also a key year for the further development of regionalization of medical informatization projects. The medical community data sharing technology using multi-source heterogeneous data fusion solves the problem of different hospitals, different procedures, different database structures, and information islands in each hospital. Through ETL technology, using the SSIS tool in Microsoft SQL Server, a relatively standard data system is built for the original information system of each hospital in the medical community group to centrally convert, clean and transfer to a standardized data model to form a data set: Patient Master Index (EMPI), Master Data Management (MDM), etc., to solve the problem of reducing repeated statistics and discrepancies in various hospitals, improve data quality, complete interconnection and data sharing.

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Funding

2019 Changshu City Science and Technology Development Plan (Social Development) Project, Research and application of sharing technology based on multi-source heterogeneous data fusion under the medical community applied to clinical-related data quality (No.CS201913).

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Y., Fang, W., Zhu, W., Ding, J. (2021). Research on Multi-agency Data Fusion Mode Under Regional Medical Integration. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-82565-2_22

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  • DOI: https://doi.org/10.1007/978-3-030-82565-2_22

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-82565-2

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