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  1. Precision Medicine and Big Data: The Application of an Ethics Framework for Big Data in Health and Research.G. Owen Schaefer, E. Shyong Tai & Shirley Sun - 2019 - Asian Bioethics Review 11 (3):275-288.
    As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating to (...)
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  • Big Data and Public-Private Partnerships in Healthcare and Research: The Application of an Ethics Framework for Big Data in Health and Research.Angela Ballantyne & Cameron Stewart - 2019 - Asian Bioethics Review 11 (3):315-326.
    Public-private partnerships are established to specifically harness the potential of Big Data in healthcare and can include partners working across the data chain—producing health data, analysing data, using research results or creating value from data. This domain paper will illustrate the challenges that arise when partners from the public and private sector collaborate to share, analyse and use biomedical Big Data. We discuss three specific challenges for PPPs: working within the social licence, public antipathy to the commercialisation of public sector (...)
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  • Cross-Sectoral Big Data: The Application of an Ethics Framework for Big Data in Health and Research.Graeme T. Laurie - 2019 - Asian Bioethics Review 11 (3):327-339.
    Discussion of uses of biomedical data often proceeds on the assumption that the data are generated and shared solely or largely within the health sector. However, this assumption must be challenged because increasingly large amounts of health and well-being data are being gathered and deployed in cross-sectoral contexts such as social media and through the internet of things and wearable devices. Cross-sectoral sharing of data thus refers to the generation, use and linkage of biomedical data beyond the health sector. This (...)
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  • Real-World Data to Generate Evidence About Healthcare Interventions: The Application of an Ethics Framework for Big Data in Health and Research.Wendy Lipworth - 2019 - Asian Bioethics Review 11 (3):289-298.
    It is increasingly recognised that evidence generated using “real-world data” is crucial for assessing the safety and effectiveness of health-related interventions. This, however, raises a number of issues, including those related to the quality of RWD, and of the scientific methods used to generate evidence from it, and the potential for those gathering and using RWD be driven by commercial, political, professional or personal self-interest. This article is an application of the framework presented in this issue of ABR. Please refer (...)
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  • AI-Assisted Decision-Making in Healthcare: The Application of an Ethics Framework for Big Data in Health and Research.Tamra Lysaght, Hannah Yeefen Lim, Vicki Xafis & Kee Yuan Ngiam - 2019 - Asian Bioethics Review 11 (3):299-314.
    Artificial intelligence is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative (...)
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  • Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research.Graeme T. Laurie & E. Shyong Tai - 2019 - Asian Bioethics Review 11 (3):223-225.
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  • Openness in Big Data and Data Repositories: The Application of an Ethics Framework for Big Data in Health and Research.Vicki Xafis & Markus K. Labude - 2019 - Asian Bioethics Review 11 (3):255-273.
    There is a growing expectation, or even requirement, for researchers to deposit a variety of research data in data repositories as a condition of funding or publication. This expectation recognizes the enormous benefits of data collected and created for research purposes being made available for secondary uses, as open science gains increasing support. This is particularly so in the context of big data, especially where health data is involved. There are, however, also challenges relating to the collection, storage, and re-use (...)
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