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Work that enables care: understanding tasks, automation, and the National Health Service

Abstract:

Automation of jobs is discussed as a threat to many job occupations, but in the UK healthcare sector many view technology and automation as a way to save a threatened system. However, existing quantitative models that rely on occupation-level measures of the likelihood of automation suggest that few healthcare occupations are susceptible to automation. In order to improve these quantitative models, we focus on the potential impacts of task-level automation on health work, using qualitative et...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1007/978-3-319-78105-1_60

Authors


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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
Role:
Author
ORCID:
0000-0002-9120-7319
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
Role:
Author
Publisher:
Springer, Cham Publisher's website
Volume:
10766
Pages:
544-549
Series:
Lecture Notes in Computer Science
Publication date:
2018-03-15
Acceptance date:
2017-11-15
DOI:
ISSN:
0302-9743
Pubs id:
pubs:832231
URN:
uri:596cd5de-bbcf-4933-a4df-ad295e8827b9
UUID:
uuid:596cd5de-bbcf-4933-a4df-ad295e8827b9
Local pid:
pubs:832231
ISBN:
978-3-319-78104-4

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