Annotated BPMN models for optimised healthcare resource planning

Juliana Bowles, Ricardo M. Czekster*, Thais Webber

*Corresponding author for this work

    Research output: Chapter in Book/Published conference outputConference publication


    There 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.

    Original languageEnglish
    Title of host publicationSoftware Technologies
    Subtitle of host publicationApplications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers
    EditorsManuel Mazzara, Gwen Salaün, Iulian Ober
    Number of pages17
    ISBN (Electronic)978-3-030-04771-9
    ISBN (Print)9783030047702
    Publication statusPublished - 6 Dec 2018
    EventInternational Conference on Software Technologies: Applications and Foundations, STAF 2018 - Toulouse, France
    Duration: 25 Jun 201829 Jun 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11176 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Conference on Software Technologies: Applications and Foundations, STAF 2018

    Bibliographical note

    Funding Information:
    This research was partially supported by EPSRC grant EP/M014290/1, RAE grant NRCP1617/5/62 and SFC grant SFC/AN/12/2017.


    • BPMN
    • Healthcare
    • Optimisation
    • Performance analysis
    • Process modelling


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