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dc.contributor.authorVéliz, Carissa
dc.date.accessioned2021-04-27T02:01:06Z
dc.date.available2021-04-27T02:01:06Z
dc.date.issued2019
dc.date.submitted2021-04-26T11:31:21Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48386
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68165
dc.description.abstractThis 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.).
dc.languageEnglish
dc.rightsopen access
dc.subject.othermedical privacy
dc.subject.otherthema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LND Constitutional and administrative law: general::LNDC Law: Human rights and civil liberties::LNDC2 Privacy law
dc.subject.otherthema EDItEUR::M Medicine and Nursing
dc.titleChapter 21 Medical privacy and big data
dc.title.alternativeA further reason in favour of public universal healthcare coverage
dc.typechapter
oapen.relation.isPublishedBydb4e319f-ca9f-449a-bcf2-37d7c6f885b1
oapen.relation.isPartOfBookPhilosophical Foundations of Medical Law
oapen.relation.isFundedByWellcome Trust
oapen.relation.isFundedByd859fbd3-d884-4090-a0ec-baf821c9abfd
oapen.collectionWellcome
oapen.pages13
oapen.place.publicationOxford
dc.relationisFundedByd859fbd3-d884-4090-a0ec-baf821c9abfd


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