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Common barriers to the use of patient-generated data across clinical settings

Abstract:

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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Publisher copy:
10.1145/3173574.3174058

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
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
Keywords:
Pubs id:
pubs:847165
UUID:
uuid:3c46840b-dea8-453c-84be-6ec895af954f
Local pid:
pubs:847165
Deposit date:
2018-05-10

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