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
Englisch

Bibliographic citation
Journal: Health Care Management Science ; ISSN: 1572-9389 ; Volume: 24 ; Year: 2021 ; Issue: 4 ; Pages: 799-826 ; New York, NY: Springer US

Classification
Medizin, Gesundheit
Subject
Hybrid simulation
Agent-based modeling
Discrete-event simulation
Primary care
Decision support
Operations research

Event
Geistige Schöpfung
(who)
Comis, Martin
Cleophas, Catherine
Büsing, Christina
Event
Veröffentlichung
(who)
Springer US
(where)
New York, NY
(when)
2021

DOI
doi:10.1007/s10729-021-09556-2
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
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

Other Objects (12)