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How Should Health Data Be Used?

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    Cambridge Quarterly of Healthcare Ethics : CQ : the International Journal of Healthcare Ethics Committees
    |March 10, 2016
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    Summary
    This summary is machine-generated.

    Electronic health records and big data offer health improvements but raise privacy issues. Ethical analysis of data sharing, commodification, and consent is crucial for balancing innovation and individual privacy.

    Keywords:
    Ex Parte Source Informatics Ltd.R v. Department of HealthSorrell v. IMS Health Inc.big dataconfidentialitydata mininghealth data privacyhealth recordspharmaceutical marketingsecondary use

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    Area of Science:

    • Health Informatics
    • Bioethics
    • Data Science

    Background:

    • Electronic health records (EHRs) and big data facilitate healthcare advancements.
    • Secondary data use and sharing introduce significant privacy concerns.
    • Legal cases highlight the tension between data commercialization and public interest.

    Purpose of the Study:

    • To ethically analyze data privacy issues arising from EHRs and big data.
    • To explore the implications of data commodification, ownership, and consent in research.
    • To examine the balance between individual privacy and public interest in data utilization.

    Main Methods:

    • Ethical analysis of legal precedents (Sorrell and Source cases).
    • Examination of dualities: individual vs. aggregate, research vs. privacy, power dynamics.
    • Review of concepts: data commodification, transparency, consent, and accountability.

    Main Results:

    • Court cases underscore complex definitions of privacy and public interest.
    • Significant ethical challenges exist in selling, owning, and combining data.
    • Balancing innovation with privacy requires careful consideration of data use and users.

    Conclusions:

    • Transparency, flexibility, and accountability are essential for ethical data governance.
    • Judicious assessment of data uses and users is needed to align with societal values.
    • Navigating big data in healthcare demands a nuanced ethical framework.