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Big Data for Public Health Policy-Making: Policy Empowerment

Authors
  • Mählmann, Laura
  • Reumann, Matthias
  • Evangelatos, Nikolaos
  • Brand, Angela
Type
Published Article
Journal
Public Health Genomics
Publisher
S. Karger AG
Publication Date
Apr 04, 2018
Volume
20
Issue
6
Pages
312–320
Identifiers
DOI: 10.1159/000486587
PMID: 29617688
Source
Karger
Keywords
License
Green
External links

Abstract

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 policy-making 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.

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