Kurniati, AP, McInerney, C orcid.org/0000-0001-7620-7110, Zucker, K et al. (3 more authors) (2020) Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways. International Journal of Environmental Research and Public Health, 17 (19). 7210. ISSN 1660-4601
Abstract
The area of process change over time is a particular concern in healthcare, where patterns of care emerge and evolve in response to individual patient needs. We propose a structured approach to analyse process change over time that is suitable for the complex domain of healthcare. Our approach applies a qualitative process comparison at three levels of abstraction: a holistic perspective (process model), a middle-level perspective (trace), and a fine-grained detail (activity). Our aim was to detect change points, localise and characterise the change, and unravel/understand the process evolution. We illustrate the approach using a case study of cancer pathways in Leeds where we found evidence of change points identified at multiple levels. In this paper, we extend our study by analysing the miners used in process discovery and providing a deeper analysis of the activity of investigation in trace and activity levels. In the experiment, we show that this qualitative approach provides a useful understanding of process change over time. Examining change at three levels provides confirmatory evidence of process change where perspectives agree, while contradictory evidence can lead to focused discussions with domain experts. This approach should be of interest to others dealing with processes that undergo complex change over time.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Oct 2020 12:15 |
Last Modified: | 06 Oct 2020 12:15 |
Status: | Published |
Publisher: | MDPI AG |
Identification Number: | 10.3390/ijerph17197210 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166275 |