Bookshelf_NBK550264.pdf
This This chapter aims to explore the challenge that big data brings to medical privacy. Section I offers a brief overview of the role of privacy in medical settings. I define define privacy as having one’s personal information and one’s personal sensorial space (what I call autotopos) unaccessed. S...
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Oxford University Press
2021
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oapen-20.500.12657-483862021-04-27T00:47:54Z Chapter 21 Medical privacy and big data Véliz, Carissa medical privacy bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LND Constitutional & administrative law::LNDC Human rights & civil liberties law::LNDC2 Privacy law bic Book Industry Communication::M Medicine This This chapter aims to explore the challenge that big data brings to medical privacy. Section I offers a brief overview of the role of privacy in medical settings. I define define privacy as having one’s personal information and one’s personal sensorial space (what I call autotopos) unaccessed. Section II discusses how the challenge of big data differs differs from other risks to medical privacy. Section III is about what can be done to minimise those risks. I argue that the most effective way of protecting people from suffering suffering suffering unfair medical consequences is by having a public universal healthcare system in which coverage is not influenced influenced influenced by personal data (e.g., genetic predisposition, exercise habits, eating habits, etc.). 2021-04-26T11:31:21Z 2021-04-26T11:31:21Z 2019 chapter https://library.oapen.org/handle/20.500.12657/48386 eng application/pdf Attribution 4.0 International Bookshelf_NBK550264.pdf Oxford University Press Philosophical Foundations of Medical Law b9501915-cdee-4f2a-8030-9c0b187854b2 8ce8b283-63af-437b-9b0b-0caef55ee1bf d859fbd3-d884-4090-a0ec-baf821c9abfd Wellcome 13 Oxford Wellcome Trust Wellcome open access |
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English |
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This This chapter aims to explore the challenge that big data brings to medical privacy. Section I offers a brief overview of the role of privacy in medical settings. I define define privacy as having one’s personal information and one’s personal sensorial space (what I call autotopos) unaccessed. Section II discusses how the challenge of big data differs differs from other risks to medical privacy. Section III is about what can be done to minimise those risks. I argue that the most effective way of protecting people from suffering suffering suffering unfair medical consequences is by having a public universal healthcare system in which coverage is not influenced influenced influenced by personal data (e.g., genetic predisposition, exercise habits, eating habits, etc.). |
| title |
Bookshelf_NBK550264.pdf |
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Bookshelf_NBK550264.pdf |
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Bookshelf_NBK550264.pdf |
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Bookshelf_NBK550264.pdf |
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bookshelf_nbk550264.pdf |
| publisher |
Oxford University Press |
| publishDate |
2021 |
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1771297438694375424 |
