Just data? Solidarity and justice in data-driven medicine

Patrik Hummel (Corresponding author), Matthias Braun

Research output: Contribution to journalArticleAcademicpeer-review


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.
Original languageEnglish
Article number8
JournalLife Sciences, Society and Policy
Publication statusPublished - 2020


  • Data-driven medicine
  • Precision medicine
  • Algorithm ethics
  • Data ethics
  • Justice
  • Solidarity
  • Controllability
  • Privacy


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