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dc.contributor.authorGiordanengo, Alain
dc.contributor.authorÅrsand, Eirik
dc.contributor.authorGrøttland, Astrid
dc.contributor.authorBradway, Meghan
dc.contributor.authorHartvigsen, Gunnar
dc.date.accessioned2020-04-20T12:00:05Z
dc.date.available2020-04-20T12:00:05Z
dc.date.issued2019
dc.description.abstractPatients increasingly collect health-related data using mobile health apps and sensors. Studies have shown that this data can be beneficial for both clinicians and patients if used during medical consultations. However, such data is almost never used outside controlled situations or medical trials. This paper explains why the usage of self-collected health data is not widespread by identifying acceptance barriers perceived by clinicians, patients, EHR vendors and healthcare institutions. The identification of the acceptance barriers relied on a literature review, a medical pilot, a co-design and focus groups using diabetes as a case.en_US
dc.descriptionSource at <a href=https://www.ep.liu.se/ecp/contents.asp?issue=161>https://www.ep.liu.se/ecp/contents.asp?issue=161. </a>en_US
dc.identifier.citationGiordanengo A, Årsand E, Grøttland A, Bradway M, Hartvigsen G. Acceptance barriers of using patients’ self-collected health data during medical consultation . Linköping Electronic Conference Proceedings. 2019(161):50-55en_US
dc.identifier.cristinIDFRIDAID 1750052
dc.identifier.issn1650-3686
dc.identifier.issn1650-3740
dc.identifier.urihttps://hdl.handle.net/10037/18059
dc.language.isoengen_US
dc.publisherLiU: Linköping University Electronic Pressen_US
dc.relation.journalLinköping Electronic Conference Proceedings
dc.relation.urihttp://www.ep.liu.se/ecp/161/009/ecp19161009.pdf
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.titleAcceptance barriers of using patients’ self-collected health data during medical consultationen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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