Abstract
Multimorbidity is a global public health challenge, where an individual has two or more chronic conditions, making it difficult to treat and manage illnesses. Understanding the disease trajectories of multimorbidity is crucial for providing patient-centred care. Previous research has primarily employed regression-based approaches, which don’t consider the specific diseases involved and the order in which they occur. Process mining was recently proposed to address this gap, showing promising results in modelling disease trajectories across the entire spectrum of diseases. However, that study involved admissions to a single hospital, and hence the size of the dataset was much smaller than what is typically used in population-level studies on multimorbidity. In this paper, we present a case study where process mining techniques are applied to a much larger dataset of patients in Scotland. We present the disease trajectories discovered for the entire population, as well as stratified by sex. We also describe temporal patterns of disease trajectories, including trajectories with rapid progression. Finally, we discuss the experience of employing process mining within a trusted research environment, and we reflect on challenges that we faced when mining disease trajectories based on a large and complex dataset. Our main contribution involves providing additional evidence around the feasibility of disease trajectory modelling through process mining techniques, in particular when a much larger health dataset is involved.
Original language | English |
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Title of host publication | Process mining workshops |
Subtitle of host publication | ICPM 2024 international workshops, Lyngby, Denmark, October 14–18, 2024, revised selected papers |
Editors | Andrea Delgado, Tijs Slaats |
Place of Publication | Cham |
Publisher | Springer Nature Switzerland AG |
Pages | 460-472 |
Number of pages | 13 |
ISBN (Electronic) | 9783031822254 |
ISBN (Print) | 9783031822247 |
DOIs | |
Publication status | Published - 28 Mar 2025 |
Event | 6th International Conference on Process Mining - Technical University of Denmark, Lyngby, Denmark Duration: 14 Oct 2024 → 18 Oct 2024 https://icpmconference.org/2024/ |
Publication series
Name | Lecture notes in business information processing |
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Publisher | Springer Nature |
Volume | 533 |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Conference
Conference | 6th International Conference on Process Mining |
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Abbreviated title | ICPM 2024 |
Country/Territory | Denmark |
City | Lyngby |
Period | 14/10/24 → 18/10/24 |
Internet address |
Keywords
- Multimorbidity
- Disease trajectories
- Process mining