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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

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

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
Oxford 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
Journal:
iConference 2018: Transforming Digital Worlds Journal website
Volume:
10766
Pages:
544-549
Series:
Lecture Notes in Computer Science
Host title:
iConference 2018: Transforming Digital Worlds
Publication date:
2018-03-15
Acceptance date:
2017-11-15
DOI:
ISSN:
0302-9743
Source identifiers:
832231
ISBN:
9783319781044
Keywords:
Pubs id:
pubs:832231
UUID:
uuid:596cd5de-bbcf-4933-a4df-ad295e8827b9
Local pid:
pubs:832231
Deposit date:
2018-04-04

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