The Ethics of Translating High-Throughput Science into Clinical Practice

Biomedical research is increasingly data intensive and computational, and “big data science” is migrating into the clinical arena. Unfortunately, ethicists, regulators, and policy‐makers have barely begun to explore the ethical, legal, and social issues raised by the variety of analytical and comput...

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Bibliographic Details
Published inThe Hastings Center report Vol. 44; no. 5; pp. 8 - 9
Main Author Ossorio, Pilar N.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.09.2014
Subjects
Bioethics
Biomedical research
Biomedical Research - ethics
Biomedical Research - organization & administration
Confidentiality
Diffusion of Innovation
Genetic Markers - ethics
Humans
Informed Consent
Privacy
Public health
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Summary:Biomedical research is increasingly data intensive and computational, and “big data science” is migrating into the clinical arena. Unfortunately, ethicists, regulators, and policy‐makers have barely begun to explore the ethical, legal, and social issues raised by the variety of analytical and computational approaches in use and under development in biology and medicine. Most scholarship concerning big data bioscience has focused on privacy, a vitally important consideration but not the only one. Among the issues raised by new computational technologies are questions about safety and safety assessment, justice, and how to obtain proper informed consent. These technologies also raise a myriad of regulatory issues that could influence the probability of translating new assays or computational tools to the clinical or public health spheres.
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ISSN:0093-0334
1552-146X
DOI:10.1002/hast.351