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dc.contributor.authorHoeyer, Klaus
dc.date.accessioned2023-07-31T10:54:02Z
dc.date.available2023-07-31T10:54:02Z
dc.date.issued2023
dc.identifierONIX_20230731_9780262374156_19
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/111585
dc.description.abstractWhy healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambiguously be interpreted and provide better care for patients, more efficient administration, enhanced options for research, and accelerated economic growth. In practice, however, data are difficult to interpret and the many purposes often undermine one another. In this book, anthropologist and STS scholar Klaus Hoeyer offers an in-depth look at the paradoxes surrounding healthcare data.Focusing on Denmark, a world leader in healthcare data infrastructures, Hoeyer shares the perspectives of different stakeholders, from epidemiologists to hospital managers, from patients to physicians, analyzing the social dynamics set in motion by data intensification and calling special attention to that which cannot be easily coded in a database. He illustrates how data can be at once helpful, overwhelming, and sometimes disastrous through concrete examples. The COVID-19 pandemic serves as a special closing case study that shows how these data paradoxes carry weighty political implications. By revealing the diverse and sometimes contradictory practices spawned by intensified data sourcing, Data Paradoxes raises vital questions about how we might better use healthcare data.
dc.languageEnglish
dc.relation.ispartofseriesInfrastructures
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer scienceen_US
dc.subject.otherData
dc.subject.otherdatafication
dc.subject.otherdata work
dc.subject.otherdata sharing
dc.subject.otherdata infrastructures
dc.subject.otherinformation infrastructures
dc.subject.otherDigital health
dc.subject.othereHealth
dc.subject.otherArtificial intelligence
dc.subject.otherAI
dc.subject.otheralgorithms
dc.subject.otherautomation
dc.subject.otherHealth
dc.subject.otherhealth care, healthcare
dc.subject.otherhospitals
dc.subject.othermedicine
dc.subject.otherData politics
dc.subject.otherdata mining
dc.subject.otherintensified data sourcing
dc.subject.otherdata-based management
dc.subject.otherlearning healthcare systems
dc.subject.otherpersonalized medicine
dc.subject.otherreal-world data
dc.subject.otherreal-world evidence
dc.subject.otherDenmark
dc.subject.otherScandinavia
dc.subject.otherEuropean Union, EU
dc.subject.otherGlobal North
dc.subject.otherScience and technology studies
dc.subject.otherscience, technology and society
dc.subject.otherSTS
dc.subject.otheranthropology
dc.subject.othermedical anthropology
dc.subject.othersociology
dc.subject.othermedical sociology
dc.subject.otherdata studies
dc.subject.othercritical data studies
dc.titleData Paradoxes
dc.title.alternativeThe Politics of Intensified Data Sourcing in Contemporary Healthcare
dc.typebook
oapen.identifier.doi10.7551/mitpress/14926.001.0001
oapen.relation.isPublishedByae0cf962-f685-4933-93d1-916defa5123d
oapen.relation.isbn9780262374156
oapen.relation.isbn9780262545419
oapen.imprintThe MIT Press
oapen.pages328
oapen.place.publicationCambridge


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