The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations

Monica Nehemia, Tandokazi Zondani
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Abstract

Big data has gained popularity in recent years, with increased interest from both public and private organisations including academics. The automation of business processes led to the proliferation of different types of data at various speeds through information systems. Big data is generated at a high rate from multiple sources that can become complex to manage with challenges to collect, manipulate, and store data with traditional IS/IT. Big data has been associated with technical non-technical challenges. Due to these challenges, organisations deploy enterprise architecture as an approach to holistically manage and mitigate challenges associated with business and technology. An exploratory study was done to determine how EA could be used to manage big data in healthcare facilities. This study employs the interpretive approach with documentation as the analysis. Findings were governance, internal and external big data sources, information technology infrastructure development, and big data skills. Through the different EA domains, big data challenges could be mitigated.
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使用企业架构框架指导卫生组织的大数据管理
近年来,大数据越来越受欢迎,包括学术界在内的公共和私人组织对大数据的兴趣都在增加。业务流程的自动化导致不同类型的数据以不同的速度通过信息系统激增。大数据是由多个来源高速生成的,使用传统的is /IT收集、操作和存储数据可能会变得复杂,难以管理。大数据一直与技术非技术挑战联系在一起。由于这些挑战,组织部署企业架构作为一种全面管理和减轻与业务和技术相关的挑战的方法。进行了一项探索性研究,以确定如何使用EA来管理医疗机构中的大数据。本研究采用文献分析的解释方法。调查结果包括治理、内部和外部大数据源、信息技术基础设施发展和大数据技能。通过不同的EA领域,大数据挑战可以得到缓解。
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