Conference item
Common barriers to the use of patient-generated data across clinical settings
- 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 ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 223.1KB)
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- Publisher copy:
- 10.1145/3173574.3174058
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Authors
Funding
Bibliographic Details
- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems Journal website
- Pages:
- Paper: 484
- Host title:
- CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- Publication date:
- 2018-04-23
- Acceptance date:
- 2018-01-05
- DOI:
- Source identifiers:
-
847165
- ISBN:
- 9781450356206
Item Description
- Keywords:
- Pubs id:
-
pubs:847165
- UUID:
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uuid:3c46840b-dea8-453c-84be-6ec895af954f
- Local pid:
- pubs:847165
- Deposit date:
- 2018-05-10
Terms of use
- 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
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