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Health data integration with Secured Record Linkage: A practical solution for Bangladesh and other developing countries

机译:通过安全记录链接实现卫生数据集成:孟加拉国和其他发展中国家的实用解决方案

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Knowledge discovery from various health data repositories requires the incorporation of healthcare data from diversified sources. Maintaining record linkage during the integration of medical data is an important research issue. Researchers have given different solutions to this problem that are applicable for developed countries where electronic health record of patients are maintained with identifiers like social security number (SSN), universal patient identifier (UPI), health insurance number, etc. These solutions cannot be used correctly for record linkage of health data of developing countries because of missing data, ambiguity in patient identification, and high amount of noise in patient information. Also, identifiable health data in electronic health repositories may produce a significant risk to patient privacy and also make the health information systems security vulnerable to hackers. In this paper, we have analyzed the practical problems of collecting and integrating healthcare data in Bangladesh for developing national health data warehouse. We have proposed a privacy preserved secured record linkage architecture that can support constrained health data of developing countries such as Bangladesh. Our technique can anonymize identifiable private data of the patients while maintaining record linkage in integrated health repositories to facilitate knowledge discovery process. Experimental results show that our proposed method successfully linked records with acceptable accuracy for noisy data in the absence of any standard ID like SSN.
机译:从各种健康数据存储库中发现知识需要整合来自各种来源的医疗数据。在医学数据集成期间保持记录链接是一个重要的研究问题。研究人员针对此问题给出了不同的解决方案,这些解决方案适用于发达国家,这些国家使用诸如社会安全号码(SSN),通用患者标识符(UPI),健康保险号码等标识符来维护患者的电子健康记录。这些解决方案无法使用由于缺少数据,患者识别不明确以及患者信息中存在大量噪音,因此可以正确地记录发展中国家的健康数据。此外,电子医疗存储库中可识别的医疗数据可能会对患者的隐私产生重大风险,并且使医疗信息系统的安全性容易受到黑客的攻击。在本文中,我们分析了孟加拉国收集和整合医疗数据以开发国家医疗数据仓库的实际问题。我们提出了一种隐私保护的安全记录链接体系结构,该体系结构可以支持发展中国家(如孟加拉国)的健康数据受到约束。我们的技术可以匿名化患者的可识别私人数据,同时在综合健康库中保持记录链接,以促进知识发现过程。实验结果表明,在没有任何标准ID(例如SSN)的情况下,我们提出的方法可以成功地以噪声数据可接受的精度链接记录。

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