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dc.contributor.authorSilvina, Agastya
dc.contributor.authorRedeker, Guilherme Alfredo
dc.contributor.authorWebber, Thais
dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.editorBowles, Juliana
dc.contributor.editorBroccia, Giovanna
dc.contributor.editorNanni, Mirco
dc.date.accessioned2021-03-22T17:30:11Z
dc.date.available2021-03-22T17:30:11Z
dc.date.issued2021
dc.identifier.citationSilvina , A , Redeker , G A , Webber , T & Kuster Filipe Bowles , J 2021 , A simulation-based approach for the behavioural analysis of cancer pathways . in J Bowles , G Broccia & M Nanni (eds) , From Data to Models and Back : 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers . Lecture Notes in Computer Science , vol. 12611 , Springer , Cham , pp. 57-71 . https://doi.org/10.1007/978-3-030-70650-0_4en
dc.identifier.isbn9783030706494
dc.identifier.isbn9783030706500
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 272117278
dc.identifier.otherPURE UUID: af37d6c1-2cf0-414f-a68f-afa0f8336b58
dc.identifier.otherORCID: /0000-0002-8091-6021/work/86538459
dc.identifier.otherORCID: /0000-0002-5918-9114/work/86538469
dc.identifier.otherScopus: 85103540443
dc.identifier.urihttp://hdl.handle.net/10023/21685
dc.description.abstractCancer pathway is the name given to a patient’s journey from initial suspicion of cancer through to a confirmed diagnosis and, if applicable, the definition of a treatment plan. Typically, a cancer patient will undergo a series of procedures, which we designate as events, during their cancer care. The initial stage of the pathway, from suspected diagnosis to confirmed diagnosis and start of a treatment is called cancer waiting time(CWT). This paper focuses on the modelling and analysis of the CWT. Health boards are under pressure to ensure that the duration of CWT satisfies predefined targets. In this paper, we first create the visual representation of the pathway obtained from real patient data at a given health board, and then compare it with the standardised pathway considered by the board to find and flag a deviation in the execution of the cancer pathway. Next, we devise a discrete event simulation model for the cancer waiting time pathway. The input data is obtained from historical records of patients. The outcomes from this analysis highlight the pathway bottlenecks and transition times which maybe used to reveal potential improvements for CWT in the future.
dc.format.extent14
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofFrom Data to Models and Backen
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.rightsCopyright © 2021 Springer Nature Switzerland AG. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-030-70650-0_4.en
dc.subjectCancer pathwayen
dc.subjectCancer waiting timeen
dc.subjectDiscrete event simulationen
dc.subjectProcess modellingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subject3rd-DASen
dc.subject.lccQA75en
dc.subject.lccRC0254en
dc.titleA simulation-based approach for the behavioural analysis of cancer pathwaysen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1007/978-3-030-70650-0_4
dc.date.embargoedUntil2021-03-05


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