- Abstract:
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Patient-generated data, such as data from wearable fitness trackers and smartphone apps, are viewed as a valuable information source towards personalised healthcare. However, studies in specific clinical settings have revealed diverse barriers to their effective use. In this paper, we address the following question: are there barriers prevalent across distinct workflows in clinical settings to using patient-generated data? We conducted a two-part investigation: a literature review of studies ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
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(pdf, 223.1kb)
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- Publisher copy:
- 10.1145/3173574.3174058
-
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- Publisher:
- Association for Computing Machinery Publisher's website
- Pages:
- Paper: 484
- Publication date:
- 2018-04-23
- Acceptance date:
- 2018-01-05
- DOI:
- Pubs id:
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pubs:847165
- URN:
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uri:3c46840b-dea8-453c-84be-6ec895af954f
- UUID:
-
uuid:3c46840b-dea8-453c-84be-6ec895af954f
- Local pid:
- pubs:847165
- ISBN:
- 978-1-4503-5620-6
- Copyright holder:
- West et al.
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 the authors. This is the accepted manuscript version of the paper. The final version is available online from Association for Computing Machinery at: https://doi.org/10.1145/3173574.3174058
Conference item
Common barriers to the use of patient-generated data across clinical settings
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