为医疗保健领域的大数据应用制定技术路线图

S. Zillner, Heiner Oberkampf, C. Bretschneider, A. Zaveri, W. Faix, S. Neururer
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引用次数: 16

摘要

大数据技术可用于提高医疗保健服务的质量和效率。当来自不同医疗保健领域的数据(如临床、行政、财务或结果数据)可以集成时,预计大数据应用程序的最大影响将会出现。然而,到目前为止,对各种医疗保健数据池的无缝访问只能以非常受限和有限的方式实现。为了实现无缝访问,需要解决数据数字化、语义注释、数据共享、数据隐私和安全以及数据质量等技术要求。在本文中,我们介绍了对这些技术需求的详细分析,并展示了我们的分析结果如何导致医疗保健领域大数据的技术路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a technology roadmap for big data applications in the healthcare domain
Big Data technologies can be used to improve the quality and efficiency of healthcare delivery. The highest impact of Big Data applications is expected when data from various healthcare areas, such as clinical, administrative, financial, or outcome data, can be integrated. However, as of today, the seamless access to the various healthcare data pools is only possible in a very constrained and limited manner. For enabling the seamless access several technical requirements, such as data digitalization, semantic annotation, data sharing, data privacy and security as well as data quality need to be addressed. In this paper, we introduce a detailed analysis of these technical requirements and show how the results of our analysis lead towards a technical roadmap for Big Data in the healthcare domain.
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