Big data governance of personal health information and challenges to contextual integrity

dc.contributor.authorWinter, Jenifer Sunrise
dc.contributor.authorDavidson, Elizabeth
dc.date.accessioned2019-10-07T21:34:58Z
dc.date.available2019-10-07T21:34:58Z
dc.date.issued2019-01
dc.description.abstractPervasive digitization and aggregation of personal health information (PHI), along with artificial intelligence (AI) and other advanced analytical techniques, hold promise of improved health and healthcare services. These advances also pose significant data governance challenges for ensuring value for individual, organizational, and societal stakeholders as well as individual privacy and autonomy. Through a case study of a controversial public-private partnership between Royal Free Trust, a National Health Service hospital system in the United Kingdom, and Alphabet’s AI venture DeepMind Health, we investigate how forms of data governance were adapted, as PHI data flowed into new use contexts, to address concerns of contextual integrity, which is violated when personal information collected in one use context moves to another use context with different norms of appropriateness.
dc.format.extent31 pages
dc.identifier.citationWinter, J. S., & Davidson, E. (2019). “Big data governance of personal health information and challenges to contextual integrity.” The Information Society, 35 (1), 36-51. doi:10.1080/01972243.2018.1542648
dc.identifier.doi10.1080/01972243.2018.1542648
dc.identifier.urihttp://hdl.handle.net/10125/63441
dc.language.isoen-US
dc.publisherRoutledge
dc.subjectbig data
dc.subjectpersonal health information
dc.subjectArtificial intelligence
dc.subjectDeepMind
dc.subjectdata governance
dc.subjectcontextual integrity
dc.titleBig data governance of personal health information and challenges to contextual integrity
dc.typeArticle
dc.type.dcmiText
prism.endingpage51
prism.number1
prism.publicationnameThe Information Society
prism.startingpage36
prism.volume35

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