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Erschienen in:
2014 | OriginalPaper | Buchkapitel
MongoDB Improves Big Data Analysis Performance on Electric Health Record System
verfasst von : Wei Xu, Zhonghua Zhou, Hong Zhou, Wu Zhang, Jiang Xie
Erschienen in: Life System Modeling and Simulation
Verlag: Springer Berlin Heidelberg
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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.