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大数据与医疗保健:欧盟协调政策制定面临的挑战与机遇

Big Data and Health Care: Challenges and Opportunities for Coordinated Policy Development in the EU.

作者信息

Salas-Vega Sebastian, Haimann Adria, Mossialos Elias

机构信息

London School of Economics and Political Science ; London , UK.

出版信息

Health Syst Reform. 2015 May 19;1(4):285-300. doi: 10.1080/23288604.2015.1091538.

Abstract

-As global policy makers prioritize big data policy, it is important to try to outline expected outcomes vis-à-vis health sector objectives. We identify initiatives aimed at promoting the use of big data in European Union (EU) health care, highlight expected challenges, and use these to evaluate EU big data policy developments to the extent that they are able to advance health sector priorities. A comprehensive approach is used to capture and examine peer-reviewed and gray literature publications on the use of big data in global health systems. This approach involved electronic database and specialist website searching, as well as complementary use of search engines and qualitative inputs from key EU policy stakeholders. Ongoing health data initiatives revolve around data center development, confidentiality and security, e-health and m-health, and genomics and bioinformatics. The literature acknowledges several main challenges to the successful integration of big data in health care, classified as either ethical (confidentiality and data security, access to information) or technical (data reliability, interoperability, data management and governance). EU data policy has started to address these issues, though additional work remains. A larger outstanding challenge is the lack of a comprehensive health and research policy strategy for big data that targets sectoral objectives. It remains unclear how big data integration will affect the quality and performance of health care in the EU. The promises of big data are being eroded by a failure to develop a coherent approach to adequately address conceptual, ethical, and technical challenges pertaining to its use within EU health systems.

摘要

随着全球政策制定者将大数据政策列为优先事项,尝试勾勒出相对于卫生部门目标的预期成果十分重要。我们确定旨在促进欧盟医疗保健领域使用大数据的举措,突出预期挑战,并借此评估欧盟大数据政策的发展情况,看其在多大程度上能够推动卫生部门的优先事项。我们采用综合方法来收集和审查关于全球卫生系统中大数据使用的同行评审文献和灰色文献出版物。这种方法包括电子数据库和专业网站搜索,以及搜索引擎的辅助使用和来自欧盟主要政策利益相关者的定性意见。正在进行的卫生数据举措围绕数据中心发展、保密性和安全性、电子健康和移动健康以及基因组学和生物信息学展开。文献承认在医疗保健中成功整合大数据存在几个主要挑战,分为伦理方面(保密性和数据安全、信息获取)或技术方面(数据可靠性、互操作性、数据管理和治理)。欧盟的数据政策已开始解决这些问题,不过仍有更多工作要做。一个更大的突出挑战是缺乏针对部门目标的大数据综合卫生与研究政策战略。目前尚不清楚大数据整合将如何影响欧盟医疗保健的质量和绩效。由于未能制定连贯的方法来充分应对与欧盟卫生系统内大数据使用相关的概念、伦理和技术挑战,大数据的前景正在受到侵蚀。

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