Alain Giordanengo
Norwegian Centre for E-health Research, Tromsø, Norway / Department of Computer Science, UiT The Arctic University of Norway, Norway
Eirik Årsand
Norwegian Centre for E-health Research, Tromsø, Norway / Department of Clinical Medicine, UiT The Arctic University of Norway, Norway
Astrid Grøttland
Norwegian Centre for E-health Research, Tromsø, Norway
Meghan Bradway
Norwegian Centre for E-health Research, Tromsø, Norway / Department of Clinical Medicine, UiT The Arctic University of Norway, Norway
Gunnar Hartvigsen
Department of Computer Science, UiT The Arctic University of Norway, Norway
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Published in: SHI 2019. Proceedings of the 17th Scandinavian Conference on Health Informatics, November 12-13, 2019, Oslo, Norway
Linköping Electronic Conference Proceedings 161:9, p. 50-55
Published: 2019-11-07
ISBN: 978-91-7929-957-6
ISSN: 1650-3686 (print), 1650-3740 (online)
Patients 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.
Acceptance barriers, self-collected health data, consultation.
