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Data Paradoxes

Why 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 collect...

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Enregistré dans:
Auteur principal: Hoeyer, Klaus
Format: Online
Langue:anglais
Publié: The MIT Press 2023
Sujets:
Data
datafication
data work
data sharing
data infrastructures
information infrastructures
Digital health
eHealth
Artificial intelligence
AI
algorithms
automation
Health
health care, healthcare
hospitals
medicine
Data politics
data mining
intensified data sourcing
data-based management
learning healthcare systems
personalized medicine
real-world data
real-world evidence
Denmark
Scandinavia
European Union, EU
Global North
Science and technology studies
science, technology and society
STS
anthropology
medical anthropology
sociology
medical sociology
data studies
critical data studies
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accès en ligne:ONIX_20230731_9780262374156_19
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