Abstract Electronic Health Record system has been widely used in different occasions such as hospitals, health welfare institutions and education institutions. However, the data structures of health information are usually very complicated and unstructured. It is hardly to deal with the health data for the general relational databases. We build a Nosql-based EHR system named Shanghai University Electronic Health Record System (SHU-EHR) for health data management and analysis with MongoDB. The experiments demonstrate that the performance of SHU-EHR is far better than the SQL-based EHR system.


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    Titel :

    MongoDB Improves Big Data Analysis Performance on Electric Health Record System


    Beteiligte:
    Xu, Wei (Autor:in) / Zhou, Zhonghua (Autor:in) / Zhou, Hong (Autor:in) / Zhang, Wu (Autor:in) / Xie, Jiang (Autor:in)


    Erscheinungsdatum :

    2014-01-01


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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