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Privacy and security problems of national health data warehouse: a convenient solution for developing countries

机译:国家卫生数据仓库的隐私和安全问题:发展中国家的便捷解决方案

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Healthcare providers and researchers can discover the hidden knowledge from different health repositories if integration of data is performed by data warehousing. Integration of health records requires linkage of patients??? data in different heterogeneous sources. Preserving record linkage in National Health Data Warehouse, by retaining identifiable attributes, is essential for effective data mining as well. In contrast identifiable health data have high risk to patient privacy and make the health information systems security vulnerable to hackers. In this paper, we have provided a practical solution: Global Patient Identification Technique (GPIT) that can anonymize identifiable private data of the patients while maintaining record linkage in integrated health repositories to facilitate knowledge discovery process. We have used encrypted mobile number, gender and NAMEVALUE of patients to produce Global Patient Identification Key. This system is being implemented in Bangladesh to develop National Health Data Warehouse. Our approach is also suitable for the developing countries where poverty and illiteracy rates are high among mass people.
机译:如果通过数据仓库执行数据集成,则医疗保健提供者和研究人员可以从不同的健康存储库中发现隐藏的知识。健康记录的整合需要患者之间的联系???不同异构源中的数据。通过保留可识别的属性,在国家卫生数据仓库中保持记录链接对于有效的数据挖掘也是必不可少的。相反,可识别的健康数据对患者的隐私具有很高的风险,并使健康信息系统的安全性容易受到黑客的攻击。在本文中,我们提供了一种实用的解决方案:全球患者识别技术(GPIT),该技术可以匿名化患者的可识别私人数据,同时在集成的健康资料库中保持记录链接,以促进知识发现过程。我们已使用患者的加密手机号码,性别和NAMEVALUE来生成“全球患者识别码”。该系统正在孟加拉国实施,以开发国家卫生数据仓库。我们的方法也适用于贫困人口和文盲率很高的发展中国家。

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