Kurniati, AP orcid.org/0000-0002-4747-1067, McInerney, C orcid.org/0000-0001-7620-7110, Zucker, K et al. (3 more authors) (2020) A Multi-level Approach for Identifying Process Change in Cancer Pathways. In: Di Francescomarino, C, Dijkman, R and Zdun, U, (eds.) Lecture Notes in Business Information Processing. Business Process Management Workshops 2019, 01-06 Sep 2019, Vienna, Austria. Springer , Cham, Switzerland ISBN 978-3-030-37452-5
Abstract
An understudied challenge within process mining is the area of process change over time. This is a particular concern in healthcare, where patterns of care emerge and evolve in response to individual patient needs and through complex interactions between people, process, technology and changing organisational structure. We propose a structured approach to analyse process change over time suitable for the complex domain of healthcare. Our approach applies a qualitative process comparison at three levels of abstraction: a holistic perspective summariz-ing patient pathways (process model level), a middle level perspective based on activity sequences for individuals (trace level), and a fine-grained detail focus on activities (activity level). Our aim is to identify points in time where a process changed (detection), to localise and characterise the change (localisation and characterisation), and to understand process evolution (unravelling). We illus-trate the approach using a case study of cancer pathways in Leeds Cancer Centre where we found evidence of agreement in process change identified at the pro-cess model and activity levels, but not at the trace level. In the experiment we show that this qualitative approach provides a useful understanding of process change over time. Examining change at the three levels provides confirmatory ev-idence of process change where perspectives agree, while contradictory evidence can lead to focused discussions with domain experts. The approach should be of interest to others dealing with processes that undergo complex change over time.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2019. This is an author produced version of a conference workshop proceedings published in Lecture Notes in Business Information Processing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | process mining; cancer pathways; process change; concept drift; multi-level process comparison |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number NHSA Northern Health Science No Ext Ref NIHR National Inst Health Research R&DQ&SM24387 |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Jul 2019 14:50 |
Last Modified: | 16 Mar 2020 12:37 |
Published Version: | https://bpm2019.ai.wu.ac.at/ |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-030-37453-2_48 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148841 |