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dc.contributor.authorBowles, Juliana Kuster Filipe
dc.contributor.authorCzekster, Ricardo
dc.contributor.authorWebber, Thais
dc.contributor.editorMazzara, Manuel
dc.contributor.editorIulian, Ober
dc.contributor.editorSalaün, Gwen
dc.date.accessioned2018-12-06T17:30:04Z
dc.date.available2018-12-06T17:30:04Z
dc.date.issued2018
dc.identifier.citationBowles , J K F , Czekster , R & Webber , T 2018 , Annotated BPMN models for optimised healthcare resource planning . in M Mazzara , O Iulian & G Salaün (eds) , Software Technologies: Applications and Foundations : STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers . Lecture Notes in Computer Science , vol. 11176 , Springer , Cham , pp. 146-162 , 7th International Symposium "From Data to Models and Back" (DataMod) , Toulouse , France , 25/06/18 . https://doi.org/10.1007/978-3-030-04771-9_12en
dc.identifier.citationconferenceen
dc.identifier.isbn9783030047702
dc.identifier.isbn9783030047719
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 256142221
dc.identifier.otherPURE UUID: 583e6b23-3179-4136-b0e2-9842e6841ef5
dc.identifier.otherScopus: 85058516092
dc.identifier.otherORCID: /0000-0002-5918-9114/work/58055308
dc.identifier.urihttp://hdl.handle.net/10023/16638
dc.description.abstractThere is an unquestionable need to improve healthcare processes across all levels of care in order to optimise the use of resources whilst guaranteeing high quality care to patients. However, healthcare processes are generally very complex and have to be fully understood before enhancement suggestions can be made. Modelling with widely used notation such as BPMN (Business Process Modelling and Notation) can help gain a shared understanding of a process, but is not sufficient to understand the needs and demands of resources. We propose an approach to enrich BPMN models with structured annotations which enables us to attach further information to individual elements within the process model. We then use performance analysis (e.g., throughput and utilisation) to reason about resources across a model and propose optimisations. We show the usefulness of our approach for an A&E department of a sizeable hospital in the south of Brazil and how different stakeholders may profit from a richer annotated BPMN-based model.
dc.format.extent16
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofSoftware Technologies: Applications and Foundationsen
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.rights© 2018, Springer Nature Switzerland AG. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-030-04771-9_12en
dc.subjectProcess modellingen
dc.subjectBPMNen
dc.subjectPerformance analysisen
dc.subjectOptimisationen
dc.subjectHealthcareen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA Public aspects of medicineen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccRAen
dc.titleAnnotated BPMN models for optimised healthcare resource planningen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1007/978-3-030-04771-9_12
dc.date.embargoedUntil2018-12-06


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