Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/63441

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

Item Summary

Title:Big data governance of personal health information and challenges to contextual integrity
Authors:Winter, Jenifer Sunrise
Davidson, Elizabeth
Keywords:big data
personal health information
Artificial intelligence
DeepMind
data governance
show 1 morecontextual integrity
show less
Date Issued:Jan 2019
Publisher:Routledge
Citation:Winter, 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
Abstract:Pervasive 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.
Pages/Duration:31 pages
URI:http://hdl.handle.net/10125/63441
DOI:10.1080/01972243.2018.1542648
Volume:35
Issue/Number:1
Appears in Collections: School of Communications Faculty & Researcher Works


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