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dc.contributor.authorStuart, EJ
dc.contributor.authorHaynes, C
dc.contributor.authorTantam, K
dc.contributor.authorGardner, R
dc.contributor.authorPALOMINO, MARCO
dc.date.accessioned2023-04-17T10:38:28Z
dc.date.available2023-04-17T10:38:28Z
dc.date.issued2023-03-21
dc.identifier.issn1473-8716
dc.identifier.issn1473-8724
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/20705
dc.description.abstract

<jats:p> This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes incomplete due to the pressures on staff in the environment. Thus, it can be difficult to use conventional means to visualize it meaningfully. The paper presents the software tool called CCViews. It was developed to support visualization of CCU data. It enables clinicians to view the trajectory of patient recovery and track the effectiveness of different interventions such as physiotherapy. Note that this work is underpinned by the world-famous information seeking mantra, which emphasizes the need to provide users with views of their data at differing levels of granularity. </jats:p>

dc.format.extent147387162311580-147387162311580
dc.languageen
dc.publisherSAGE Publications
dc.subjectCase study
dc.subjectpatient recovery
dc.subjectdata visualization
dc.subjectsoftware development
dc.subjecticonography
dc.titleVisualizing the recovery of patients in Critical Care Units
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000954242800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume22
plymouth.publication-statusPublished
plymouth.journalInformation Visualization
dc.identifier.doi10.1177/14738716231158046
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA11 Computer Science and Informatics
dcterms.dateAccepted2023-01-01
dc.date.updated2023-04-17T10:38:17Z
dc.rights.embargodate2023-4-18
dc.identifier.eissn1473-8724
dc.rights.embargoperiodforever
rioxxterms.versionofrecord10.1177/14738716231158046


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