dc.contributor.author | Rabbi, Fazle | |
dc.contributor.author | Wake, Jo Dugstad | |
dc.contributor.author | Nordgreen, Tine | |
dc.date.accessioned | 2021-01-15T07:27:08Z | |
dc.date.available | 2021-01-15T07:27:08Z | |
dc.date.created | 2020-10-27T17:58:12Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Rabbi, F., Wake, J. D., & Nordgreen, T. (2020). Reusable Data Visualization Patterns for Clinical Practice. In Ö. Babur, J. Denil, & B. Vogel-Heuser (Eds.), Systems Modelling and Management (pp. 55–72). Springer International Publishing. | en_US |
dc.identifier.isbn | 978-3-030-58167-1 | |
dc.identifier.uri | https://hdl.handle.net/11250/2723181 | |
dc.description | This is an author's accepted manuscript version (postprint) of an article published by Springer. The final authenticated version is available online at https://doi.org/10.1007/978-3-030-58167-1_5 | en_US |
dc.description.abstract | Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data visualizations is a technique for managing enormous amounts of data and extract useful information, and is often used in developing digital tool support for decision-making. Although there exists numerous data visualisation and analytical reasoning techniques available through interactive visual interfaces, it is a challenge to develop visualizations that are relevant and suitable in a healthcare context, and can be used in clinical practice in a meaningful way. For this purpose it is necessary to identify actual needs of healthcare professionals and develop reusable data visualization components according to these needs. In this paper we present a study of decision support needs of psychologists involved in online internet-facilitated cognitive behavioural therapy. Based on these needs, we provide a library of reusable visual components using a model-based approach. The visual components are featured with mechanisms for investigating data using various levels of abstraction and causal analysis. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Systems Modelling and Management. First International Conference, ICSMM 2020, Bergen, Norway, June 25–26, 2020, Proceedings. | |
dc.subject | data visualization | en_US |
dc.subject | metamodeling | en_US |
dc.subject | model transformation | en_US |
dc.subject | visual analytics | en_US |
dc.subject | usability | en_US |
dc.subject | health informatics | en_US |
dc.subject | guided internetdelivered treatments | en_US |
dc.subject | mhealth | en_US |
dc.title | Reusable data visualization patterns for clinical practice | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420 | en_US |
dc.source.pagenumber | 55-72 | en_US |
dc.identifier.doi | 10.1007/978-3-030-58167-1_5 | |
dc.identifier.cristin | 1842709 | |
dc.relation.project | Norges forskningsråd: 259293 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |