Just data? Solidarity and justice in data-driven medicine

Datos Bibliográficos

ID8248698
AutoresPatrik Hummel (0000-0001-9668-0810, Friedrich-Alexander-Universität Erlangen-Nürnberg, autor de correspondencia), Matthias Braun (0000-0002-6687-6027, Friedrich-Alexander-Universität Erlangen-Nürnberg)
Año2020
Volumen16
Número1
Páginas8-8
Fecha de publicación2020-12-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaLife Sciences Society and Policy (JOURNAL)
Identificadores de la revistaISSN: 2195-7819 • E-ISSN: 2195-7819
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s40504-020-00101-7
PMID32839878
OpenAlexW3081400343
IdiomaEN
Citas recibidas17
Referencias citadas52

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

Big data · Compromise · Corporate governance · Data sharing · Economic Justice · Economics · Engineering ethics · Law and economics · Management · Normative · Political science · Public relations · Social science · Sociology · Solidarity · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Ethics in Clinical Research · Law · Medicine