A web service approach for integrating e-Health Data in a low bandwidth environment

V. Ndume, Y. Nkansah-Gyekye, Jesuk Ko
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引用次数: 1

Abstract

This paper describes a batch algorithm for integrating heterogeneous e-Health data using Web Service Model in a low bandwidth environment. The focus is on the problem of higher volume of data stored in relational databases and the integration architecture with uncertain schema. In specific the paper presents a batch algorithm for efficient integration and management of heterogeneous health records in an environment with higher network disconnection. The web service application for implementation was developed using Visual Basic .NET. The validation and test cases of the software was done using Demographical Surveillance data sets as well as baseline census data for sample vital registration with verbal autopsy. The result indicates that the proposed algorithm is capable of transferring data in a network with higher disconnection. The analysis of the execution time among four configured relational databases indicates that time taken to transfer data between MySQL engine and SQL server engine is shorter compared to other relation databases under the test. In addition, the architecture and the embedded algorithm may be useful for integrating e-Health records from different research group so that scientists can access them at a single point.
在低带宽环境中集成电子卫生数据的web服务方法
本文描述了一种基于Web服务模型的低带宽环境下异构电子卫生数据的批量集成算法。重点研究了关系数据库中存储的海量数据和模式不确定的集成体系结构问题。具体而言,本文提出了一种在高网络断开度环境下对异构健康记录进行高效集成和管理的批处理算法。实现的web服务应用程序是使用Visual basic.net开发的。该软件的验证和测试用例是使用人口监测数据集以及通过尸检进行样本生命登记的基线人口普查数据完成的。结果表明,该算法能够在高断开度的网络中传输数据。通过分析四个配置的关系数据库的执行时间,可以发现MySQL引擎和SQL server引擎之间的数据传输时间比测试中的其他关系数据库要短。此外,该架构和嵌入式算法可能有助于整合来自不同研究小组的电子健康记录,以便科学家可以在一个点上访问它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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