Conference item
Work that enables care: understanding tasks, automation, and the National Health Service
- 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...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 127.0KB)
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- Publisher copy:
- 10.1007/978-3-319-78105-1_60
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Authors
Funding
Bibliographic Details
- 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:
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0302-9743
- Source identifiers:
-
832231
- ISBN:
- 9783319781044
Item Description
- Keywords:
- Pubs id:
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pubs:832231
- UUID:
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uuid:596cd5de-bbcf-4933-a4df-ad295e8827b9
- Local pid:
- pubs:832231
- Deposit date:
- 2018-04-04
Terms of use
- 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
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