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Research at St Andrews

Annotated BPMN models for optimised healthcare resource planning

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Juliana Kuster Filipe Bowles, Ricardo Czekster, Thais Webber

School/Research organisations


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: Applications and Foundations
Subtitle of host publicationSTAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers
EditorsManuel Mazzara, Ober Iulian, Gwen Salaün
Place of PublicationCham
Number of pages16
ISBN (Electronic)9783030047719
ISBN (Print)9783030047702
Publication statusPublished - 2018
Event7th International Symposium "From Data to Models and Back" (DataMod) - Toulouse, France
Duration: 25 Jun 201826 Jun 2018
Conference number: 7

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference7th International Symposium "From Data to Models and Back" (DataMod)
Abbreviated titleDataMod
Internet address

    Research areas

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

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