Hummel P, Braun M (2020)
Publication Language: English
Publication Status: Published
Publication Type: Journal article, Original article
Future Publication Type: Journal article
Publication year: 2020
Book Volume: 16
Article Number: 8
URI: https://lsspjournal.biomedcentral.com/articles/10.1186/s40504-020-00101-7
DOI: 10.1186/s40504-020-00101-7
Open Access Link: https://lsspjournal.biomedcentral.com/articles/10.1186/s40504-020-00101-7
This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and the right, harnessing personal health data towards the development and refinement of data-driven medicine is to be welcomed from the perspective of the good. Enacting solidarity drives progress in research and clinical practice. At the same time, such acts of sharing could—especially considering current developments in big data and artificial intelligence—compromise the right by leading to injustices and affecting concrete modes of individual self-determination. In order to address this potential tension, two key elements for ethical reflection on data-driven medicine are proposed: the controllability of information flows, including technical infrastructures that are conducive towards controllability, and a paradigm shift towards output-orientation in governance and policy.
APA:
Hummel, P., & Braun, M. (2020). Just data? Solidarity and justice in data-driven medicine. Life Sciences, Society and Policy, 16. https://dx.doi.org/10.1186/s40504-020-00101-7
MLA:
Hummel, Patrik, and Matthias Braun. "Just data? Solidarity and justice in data-driven medicine." Life Sciences, Society and Policy 16 (2020).
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