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Vicki Xafis, G. Schaefer, Markus Labude, I. Brassington, Angela Ballantyne, H. Lim, W. Lipworth, T. Lysaght, C. Stewart, S. Sun, G. Laurie, E. Tai (2019)
Cross-Sectoral Big DataAsian Bioethics Review, 11
Vicki Xafis, G. Schaefer, Markus Labude, I. Brassington, Angela Ballantyne, H. Lim, W. Lipworth, T. Lysaght, Cameron Stewart, Shirley Sun, Graeme Laurie, E. Tai (2019)
An Ethics Framework for Big Data in Health and ResearchAsian Bioethics Review, 11
W. Lipworth (2019)
Real-world Data to Generate Evidence About Healthcare InterventionsAsian Bioethics Review, 11
Vicki Xafis, Markus Labude (2019)
Openness in Big Data and Data RepositoriesAsian Bioethics Review, 11
G. Schaefer, E. Tai, S. Sun (2019)
Precision Medicine and Big DataAsian Bioethics Review, 11
Angela Ballantyne, C. Stewart (2019)
Big Data and Public-Private Partnerships in Healthcare and ResearchAsian Bioethics Review, 11
T. Lysaght, H. Lim, Vicki Xafis, K. Ngiam (2019)
AI-Assisted Decision-making in HealthcareAsian Bioethics Review, 11
Asian Bioethics Review (2019) 11:223–225 https://doi.org/10.1007/s41649-019-00098-y EDITORIAL Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research 1 2,3 Graeme T. Laurie & EShyong Tai & on behalf of the SHAPES Working Group Published online: 30 September 2019 # National University of Singapore and Springer Nature Singapore Pte Ltd. 2019 The Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative is a programme at the Centre for Biomedical Ethics, National University of Singapore funded by Singapore’s National Medical Research Council. SHAPES was funded to develop a Big Data Project in 2018–2019 and established an international Working Group to this end in 2018. This Special Issue presents the Ethics Framework for Big Data in Health and Research (‘the Framework’)(Xafis et al. 2019) developed by the SHAPES Working Group. The topic of big data has been explored extensively in academic, technical, govern- ment, legal and private sector literature for a number of decades. The potential arising from the use of big data in health and research is widely recognised, as are the challenges posed in this fast-paced dynamic field. However, despite the wealth of literature, there is a lack of practical guidance for decision-making in the form
Asian Bioethics Review – Springer Journals
Published: Sep 30, 2019
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