Process Mining on National Health Care Data for the Discovery of Patient Journeys of Older Adults.

Autor:	de Boer TR; Department of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Stochastics Group, Centrum Wiskunde & Informatica, Amsterdam, the Netherlands. Electronic address: trdb@cwi.nl., Arntzen RJ; Department of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Stochastics Group, Centrum Wiskunde & Informatica, Amsterdam, the Netherlands., Bekker R; Department of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., Buurman BM; Section of Geriatric Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Medicine for Older People, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands., Willems HC; Section of Geriatric Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands., van der Mei RD; Department of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Stochastics Group, Centrum Wiskunde & Informatica, Amsterdam, the Netherlands.
Jazyk:	angličtina
Zdroj:	Journal of the American Medical Directors Association [J Am Med Dir Assoc] 2024 Nov 04; Vol. 26 (1), pp. 105333. Date of Electronic Publication: 2024 Nov 04.
DOI:	10.1016/j.jamda.2024.105333
Abstrakt:	Objective: Understanding the longitudinal patterns of health care utilization among older adults is crucial for designing effective patient journeys and enhancing care coordination across settings. This study aims to uncover the most common patient journeys of older adults. Design: This explorative study used process mining techniques to analyze national health care data from 2017 to 2019, focusing on patient care journeys of older adults (aged ≥65 years) in the Netherlands. Setting and Participants: Data were sourced from Statistics Netherlands, encompassing all residents aged ≥65 years as of January 1, 2017. Health care usage declarations from various care settings during 2017-2019 were included. Patient journeys were exclusively selected if their initiation points were certain. Methods: Data underwent rigorous preprocessing, merging, and filtering to create a single event log file suitable for process mining. Patients were categorized by age and medication use, and differences in patient journeys were analyzed. Process mining techniques generated visualizations illustrating the connections between care forms and the impact of changes in one form on others. Results: The study included 3,177,203 individuals aged 65 years and older, with 44% experiencing 1 or more patient journeys totaling 2,469,663 journeys in 2017-2019. Most care journeys for older adults were simple and short. The top 10 most frequent journeys had 4 or fewer care forms, with 95% of journeys for the 65+ population and 90% for the 85+ population having 4 or fewer care transitions. Long-term care forms, such as home care, personal care, and long-term care, accounted for the majority of time spent in the system. Conclusions and Implications: This pioneering study used process mining to show that most older adults tend to have a straightforward health care need, often involving the emergency department and hospitalizations. However, a smaller group among the population requires more complex and prolonged care, especially in the 85+ population. Reducing the number of transitions for this population, although impacting fewer people, might result in a larger effect on the overall system. Competing Interests: Disclosure The authors declare no conflicts of interest. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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