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  1. Whose Autonomy? Which Obligations? Preserving the Right to (Professional) Self-Determination at the Margins of Viability.Anna-Henrikje Seidlein & Sabine Salloch - 2017 - American Journal of Bioethics 17 (5):31-33.
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  • Learning to Regulate Learning Healthcare Systems.Jan Piasecki & Vilius Dranseika - 2019 - Cambridge Quarterly of Healthcare Ethics 28 (2):369-377.
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  • In Search of a Problem: Mapping Controversies over NHS (England) Patient Data with Digital Tools.Liz McFall & David Moats - 2019 - Science, Technology, and Human Values 44 (3):478-513.
    There is a long history in science and technology studies of tracking problematic objects, such as controversies, matters of concern, and issues, using various digital tools. But what happens when public problems do not play out in these familiar ways? In this paper, we will think through the methodological implications of studying “problems” in relation to recent events surrounding the sharing of patient data in the National Health Service in the United Kingdom. When a data sharing agreement called care.data was (...)
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  • Data-driven research and healthcare: public trust, data governance and the NHS. [REVIEW]Charalampia Kerasidou & Angeliki Kerasidou - 2023 - BMC Medical Ethics 24 (1):1-9.
    It is widely acknowledged that trust plays an important role for the acceptability of data sharing practices in research and healthcare, and for the adoption of new health technologies such as AI. Yet there is reported distrust in this domain. Although in the UK, the NHS is one of the most trusted public institutions, public trust does not appear to accompany its data sharing practices for research and innovation, specifically with the private sector, that have been introduced in recent years. (...)
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