Annotated BPMN models for optimised healthcare resource planning

Juliana Bowles; Ricardo M. Czekster; Thais Webber

doi:10.1007/978-3-030-04771-9_12

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 output › Conference publication

Abstract

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 language	English
Title of host publication	Software Technologies
Subtitle of host publication	Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers
Editors	Manuel Mazzara, Gwen Salaün, Iulian Ober
Publisher	Springer
Pages	146-162
Number of pages	17
ISBN (Electronic)	978-3-030-04771-9
ISBN (Print)	9783030047702
DOIs	https://doi.org/10.1007/978-3-030-04771-9_12
Publication status	Published - 6 Dec 2018
Event	International Conference on Software Technologies: Applications and Foundations, STAF 2018 - Toulouse, France Duration: 25 Jun 2018 → 29 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11176 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Software Technologies: Applications and Foundations, STAF 2018
Country/Territory	France
City	Toulouse
Period	25/06/18 → 29/06/18

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.

Keywords

BPMN
Healthcare
Optimisation
Performance analysis
Process modelling

Access to Document

10.1007/978-3-030-04771-9_12

Cite this

Bowles, J., Czekster, R. M., & Webber, T. (2018). Annotated BPMN models for optimised healthcare resource planning. In M. Mazzara, G. Salaün, & I. Ober (Eds.), Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers (pp. 146-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11176 LNCS). Springer. https://doi.org/10.1007/978-3-030-04771-9_12

Bowles, Juliana ; Czekster, Ricardo M. ; Webber, Thais. / Annotated BPMN models for optimised healthcare resource planning. Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers. editor / Manuel Mazzara ; Gwen Salaün ; Iulian Ober. Springer, 2018. pp. 146-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Bowles, J, Czekster, RM & Webber, T 2018, Annotated BPMN models for optimised healthcare resource planning. in M Mazzara, G Salaün & I Ober (eds), Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11176 LNCS, Springer, pp. 146-162, International Conference on Software Technologies: Applications and Foundations, STAF 2018, Toulouse, France, 25/06/18. https://doi.org/10.1007/978-3-030-04771-9_12

Annotated BPMN models for optimised healthcare resource planning. / Bowles, Juliana; Czekster, Ricardo M.; Webber, Thais.
Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers. ed. / Manuel Mazzara; Gwen Salaün; Iulian Ober. Springer, 2018. p. 146-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11176 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Bowles, Juliana

AU - Czekster, Ricardo M.

AU - Webber, Thais

N1 - 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.

PY - 2018/12/6

Y1 - 2018/12/6

N2 - 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.

AB - 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.

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EP - 162

BT - Software Technologies

A2 - Mazzara, Manuel

A2 - Salaün, Gwen

A2 - Ober, Iulian

PB - Springer

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Y2 - 25 June 2018 through 29 June 2018

ER -

Bowles J, Czekster RM, Webber T. Annotated BPMN models for optimised healthcare resource planning. In Mazzara M, Salaün G, Ober I, editors, Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Revised Selected Papers. Springer. 2018. p. 146-162. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-04771-9_12

Annotated BPMN models for optimised healthcare resource planning

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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