Ethics and Epistemology in Big Data Research

被引:38
作者
Lipworth, Wendy [1 ]
Mason, Paul H. [1 ]
Kerridge, Ian [1 ,2 ]
Ioannidis, John P. A. [3 ,4 ,5 ]
机构
[1] Univ Sydney, Ctr Values Eth & Law Med, Med Fdn Bldg K25, Sydney, NSW 2006, Australia
[2] Royal North Shore Hosp, Dept Haematol, Reserve Rd, St Leonards, NSW 2065, Australia
[3] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[4] Stanford Univ, Sch Humanities & Sci, Stanford, CA 94305 USA
[5] Meta Res Innovat Ctr Stanford, Stanford, CA USA
基金
英国医学研究理事会;
关键词
Big data; Real world data; Ethics; Epistemology; ELECTRONIC HEALTH RECORDS; ANONYMISED PATIENT DATA; DE-IDENTIFICATION; EPIDEMIOLOGIC RESEARCH; PRECISION MEDICINE; DATA ACCESS; REAL-WORLD; CARE; RISK; PRIVACY;
D O I
10.1007/s11673-017-9771-3
中图分类号
B82 [伦理学(道德学)];
学科分类号
010105 [伦理学];
摘要
Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals.
引用
收藏
页码:489 / 500
页数:12
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