- Abstract:
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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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 127.0KB)
-
- Publisher copy:
- 10.1007/978-3-319-78105-1_60
-
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- 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:
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0302-9743
- Pubs id:
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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
- Keywords:
- Copyright holder:
- Springer International Publishing AG, part of Springer Nature
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 Springer International Publishing AG, part of Springer Nature. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-319-78105-1_60
Conference item
Work that enables care: understanding tasks, automation, and the National Health Service
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