Big Data for Public Health Policy-Making: Policy Empowerment

被引:13
|
作者
Mahlmann, Laura [1 ,2 ]
Reumann, Matthias [1 ,3 ]
Evangelatos, Nikolaos [1 ,4 ]
Brand, Angela [1 ,5 ]
机构
[1] Maastricht Univ, United Nations Univ, Maastricht Econ & Social Res Inst Innovat & Techn, Maastricht, Netherlands
[2] Univ Basel, Psychiat Clin, Ctr Affect Stress & Sleep Disorders, Basel, Switzerland
[3] IBM Res, Zurich Lab, Ruschlikon, Switzerland
[4] Paracelsus Med Univ, Intens Care Med Unit, Dept Resp Med Allergol & Sleep Med, Nurnberg, Germany
[5] Maastricht Univ, Dept Int Hlth, Fac Hlth Med & Life Sci, Maastricht, Netherlands
关键词
Big data analytics; Cross-border healthcare; Data linkage; E-health; Ethical and regulatory frameworks; Health data cooperatives; Prevention; Public health policies; Secondary use of data; CARE;
D O I
10.1159/000486587
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Digitization is considered to radically transform healthcare. As such, with seemingly unlimited opportunities to collect data, it will play an important role in the public health policymaking process. In this context, health data cooperatives (HDC) are a key component and core element for public health policy-making and for exploiting the potential of all the existing and rapidly emerging data sources. Being able to leverage all the data requires overcoming the computational, algorithmic, and technological challenges that characterize today's highly heterogeneous data landscape, as well as a host of diverse regulatory, normative, governance, and policy constraints. The full potential of big data can only be realized if data are being made accessible and shared. Treating research data as a public good, creating HDC to empower citizens through citizen-owned health data, and allowing data access for research and the development of new diagnostics, therapies, and public health policies will yield the transformative impact of digital health. The HDC model for data governance is an arrangement, based on moral codes, that encourages citizens to participate in the improvement of their own health. This then enables public health institutions and policymakers to monitor policy changes and evaluate their impact and risk on a population level. (c) 2018 S. Karger AG, Basel
引用
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页码:312 / 320
页数:9
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