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A middleware architecture to integrate and share health data from heterogeneous and diverse data sources

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Abstract

The healthcare data are recorded by the general practitioners or others from different sources and locations. Electronic health data are significant to integrate and share from different databases to provide urgent information for quality treatment of the patient. However, the sharing of patient data is still a great issue due to the heterogeneity of structural, semantic, and querying syntaxes. The paper proposes a middleware architecture to reconstruct data from heterogeneous distributed databases (HDDBs) in a unified view for sharing data. We use patient prescription datasets to test the functionality of the architecture. The implemented system works successfully and efficiently to extract and combine data from diverse databases. The proposed architecture facilitates health data consolidation and communication among HDDBs by resolving existing problems without altering the current systems. Health professionals or users could share data from scattered source databases to enhance the effectiveness of their decisions and actions to the patients. The availability of the previous health documents would also reduce the patients’ treatment costs.

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Acknowledgements

The authors would like to thank the Information and Communication Technology Division, Bangladesh, for providing the necessary research support.

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  1. Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh

    Subrata Kumar Das & Mohammad Zahidur Rahman

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  1. Subrata Kumar Das
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Correspondence to Subrata Kumar Das.

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Das, S.K., Rahman, M.Z. A middleware architecture to integrate and share health data from heterogeneous and diverse data sources. Iran J Comput Sci 5, 267–277 (2022). https://doi.org/10.1007/s42044-022-00109-6

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