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        Chapter 7 Lost and Found

        Relocating the Individual in the Age of Intensified Data Sourcing in European Healthcare

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        Author(s)
        Hoeyer, Klaus
        Collection
        European Research Council (ERC); EU collection
        Language
        English
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        Abstract
        Both inside and outside the health services, patients and healthy citizens give rise to increasing amounts of health data. They are created, collected, curated, stored and used for multiple purposes in a process I characterise as intensified data sourcing. This data intensification changes how we deal with health issues. In this chapter I reflect on similarities and differences between data flows mediated by public and private institutions, using Denmark as my primary example. Denmark in interesting ways prescribes a form of solidarity that might be associated with We Medicine: people deliver data in the process of receiving, or in exchange for, publicly financed healthcare; and the data can be used for research for the common good. The solidarity of the model is currently being challenged in various ways, however, as authorities circumvent the voluntariness of participation and begin seeing health data as business opportunities. Simultaneously, a private market in health data is emerging mediated by privately owned platforms. The chapter compares the public and commercial forms of data sourcing to explore what is at stake for individuals and society in those processes.
        Book
        Personalized medicine, individual choice and the common good
        URI
        https://library.oapen.org/handle/20.500.12657/52700
        Keywords
        data sourcing; European healthcare; data flows; public institutions; private institutions; Denmark
        DOI
        10.1017/9781108590600.007
        ISBN
        9781108590600
        Publisher
        Cambridge University Press
        Publication date and place
        2018
        Grantor
        • H2020 European Research Council - 682110 - POLICYAID Research grant informationFind all documents
        Classification
        Medicine and Nursing
        Data science and analysis: general
        Pages
        22
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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