dc.contributor.author | Rabbi, Fazle | |
dc.contributor.author | Wake, Jo Dugstad | |
dc.contributor.author | Nordgreen, Tine | |
dc.date.accessioned | 2021-05-07T07:29:54Z | |
dc.date.available | 2021-05-07T07:29:54Z | |
dc.date.created | 2020-10-27T17:58:12Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-3-030-58167-1 | |
dc.identifier.uri | https://hdl.handle.net/11250/2754062 | |
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.title | Reusable data visualization patterns for clinical practice | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | Copyright Springer Nature Switzerland AG 2020 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-58167-1_5 | |
dc.identifier.cristin | 1842709 | |
dc.source.pagenumber | 55-72 | en_US |
dc.relation.project | Norges forskningsråd: 259293 | en_US |
dc.identifier.citation | In: Babur Ö., Denil J., Vogel-Heuser B. (eds) Systems Modelling and Management. ICSMM 2020. Communications in Computer and Information Science, 1262, 55-72 | en_US |