A simulation-based approach for the behavioural analysis of cancer pathways

Agastya Silvina; Guilherme Alfredo Redeker; Thais Webber; Juliana Kuster Filipe Bowles

doi:10.1007/978-3-030-70650-0_4

A simulation-based approach for the behavioural analysis of cancer pathways

Agastya Silvina, Guilherme Alfredo Redeker, Thais Webber, Juliana Kuster Filipe Bowles

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cancer 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.

Original language	English
Title of host publication	From data to models and back
Subtitle of host publication	9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers
Editors	Juliana Bowles, Giovanna Broccia, Mirco Nanni
Place of Publication	Cham
Publisher	Springer
Chapter	4
Pages	57-71
Number of pages	15
ISBN (Electronic)	9783030706500
ISBN (Print)	9783030706494
DOIs	https://doi.org/10.1007/978-3-030-70650-0_4
Publication status	Published - 5 Mar 2021

Publication series

Name	Lecture notes in computer science
Volume	12611
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Cancer pathway
Cancer waiting time
Discrete event simulation
Process modelling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-70650-0_4

Datamod2020_CWT
Copyright © 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.
Accepted author manuscript, 516 KB

Cite this

Silvina, 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 (pp. 57-71). (Lecture notes in computer science; Vol. 12611). Springer. https://doi.org/10.1007/978-3-030-70650-0_4

Silvina, Agastya ; Redeker, Guilherme Alfredo ; Webber, Thais et al. / A simulation-based approach for the behavioural analysis of cancer pathways. From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. editor / Juliana Bowles ; Giovanna Broccia ; Mirco Nanni. Cham : Springer, 2021. pp. 57-71 (Lecture notes in computer science).

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title = "A simulation-based approach for the behavioural analysis of cancer pathways",

abstract = "Cancer pathway is the name given to a patient{\textquoteright}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.",

keywords = "Cancer pathway, Cancer waiting time, Discrete event simulation, Process modelling",

author = "Agastya Silvina and Redeker, {Guilherme Alfredo} and Thais Webber and {Kuster Filipe Bowles}, Juliana",

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Silvina, A, Redeker, GA, 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_4

A simulation-based approach for the behavioural analysis of cancer pathways. / Silvina, Agastya; Redeker, Guilherme Alfredo; Webber, Thais et al.
From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. ed. / Juliana Bowles; Giovanna Broccia; Mirco Nanni. Cham: Springer, 2021. p. 57-71 (Lecture notes in computer science; Vol. 12611).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A simulation-based approach for the behavioural analysis of cancer pathways

AU - Silvina, Agastya

AU - Redeker, Guilherme Alfredo

AU - Webber, Thais

AU - Kuster Filipe Bowles, Juliana

N1 - Funding: This research is partially supported by the DataLab.

PY - 2021/3/5

Y1 - 2021/3/5

N2 - Cancer 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.

AB - Cancer 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.

KW - Cancer pathway

KW - Cancer waiting time

KW - Discrete event simulation

KW - Process modelling

UR - https://doi.org/10.1007/978-3-030-70650-0

U2 - 10.1007/978-3-030-70650-0_4

DO - 10.1007/978-3-030-70650-0_4

M3 - Conference contribution

SN - 9783030706494

T3 - Lecture notes in computer science

SP - 57

EP - 71

BT - From data to models and back

A2 - Bowles, Juliana

A2 - Broccia, Giovanna

A2 - Nanni, Mirco

PB - Springer

CY - Cham

ER -

Silvina A, Redeker GA, Webber T, Kuster Filipe Bowles J. A simulation-based approach for the behavioural analysis of cancer pathways. In Bowles J, Broccia G, Nanni M, editors, From data to models and back: 9th International symposium, DataMod 2020, virtual event, October 20, 2020, revised selected papers. Cham: Springer. 2021. p. 57-71. (Lecture notes in computer science). Epub 2021 Mar 4. doi: 10.1007/978-3-030-70650-0_4

A simulation-based approach for the behavioural analysis of cancer pathways

Abstract

Publication series

Keywords

UN SDGs

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From data to models and back: 9th international symposium, DataMod 2020 virtual event, October 20, 2020 revised selected papers

Cite this