| 1. |
- Cerna, Katerina, 1986, et al.
(författare)
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Decision-support System for Cancer Rehabilitation : Designing for Incorporating of Quantified Data into an Existing Practice
- 2018
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Ingår i: Proceedings of the 10th Nordic Conference on Human-Computer Interaction. - New York, NY, USA : ACM Publications. - 9781450364379 ; , s. 747-753
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Recent development in self-monitoring devices indicates that using quantified data in clinical practicesupporting chronic diseases management holds a big potential. However, exploration of this design space also suggests that some unattended challenges still exist, such as a low adoption rate of self-monitoring tools in existing clinical practice. In this text, wetherefore focus on the ways healthcare professionalsuse quantified data in their practice. We draw onempirical data from an ethnographic study of a cancer rehabilitation center. Our preliminary findings suggestthat the self-monitoring tool supported the nurses'work because it became a functional complement totheir work by allowing them to appropriate the deviceto their and the patients' needs.
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| 2. |
- Lindroth, Tomas, 1976-, et al.
(författare)
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From narratives to numbers : Data work and patient-generated health data in consultations
- 2018
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 9781614998518 ; , s. 491-495:247, s. 491-495
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Konferensbidrag (refereegranskat)abstract
- This article presents preliminary findings on how the introduction of patient-generated health data (PGHD) triggers changes during patient-nurse consultations. This article builds on a two-year case study, examining the work practice at a cancer rehabilitation clinic at a Swedish Hospital using PGHD. The study focuses on how nurses’ use data, gathered by patients with a mobile phone app, during consultations. The use of PGHD introduce a change in the translation work, the work of turning rich patient descriptions and transform them into data, during the consultation for documentation and clinical decision-making. This change affects precision, questions asked and the use of visualizations as well as the patient-nurse decision making. © 2018 European Federation for Medical Informatics (EFMI) and IOS Press.
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