Artikel
Patients, primary care, and policy: Agent-based simulation modeling for health care decision support
Primary care systems are a cornerstone of universally accessible health care. The planning, analysis, and adaptation of primary care systems is a highly non-trivial problem due to the systems' inherent complexity, unforeseen future events, and scarcity of data. To support the search for solutions, this paper introduces the hybrid agent-based simulation model SiM-Care. SiM-Care models and tracks the micro-interactions of patients and primary care physicians on an individual level. At the same time, it models the progression of time via the discrete-event paradigm. Thereby, it enables modelers to analyze multiple key indicators such as patient waiting times and physician utilization to assess and compare primary care systems. Moreover, SiM-Care can evaluate changes in the infrastructure, patient behavior, and service design. To showcase SiM-Care and its validation through expert input and empirical data, we present a case study for a primary care system in Germany. Specifically, we study the immanent implications of demographic change on rural primary care and investigate the effects of an aging population and a decrease in the number of physicians, as well as their combined effects.
- Language
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Englisch
- Bibliographic citation
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Journal: Health Care Management Science ; ISSN: 1572-9389 ; Volume: 24 ; Year: 2021 ; Issue: 4 ; Pages: 799-826 ; New York, NY: Springer US
- Classification
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Medizin, Gesundheit
- Subject
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Hybrid simulation
Agent-based modeling
Discrete-event simulation
Primary care
Decision support
Operations research
- Event
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Geistige Schöpfung
- (who)
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Comis, Martin
Cleophas, Catherine
Büsing, Christina
- Event
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Veröffentlichung
- (who)
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Springer US
- (where)
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New York, NY
- (when)
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2021
- DOI
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doi:10.1007/s10729-021-09556-2
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Comis, Martin
- Cleophas, Catherine
- Büsing, Christina
- Springer US
Time of origin
- 2021