A Review of Recent Contribution in Agent-Based Health Care Modeling

2010 ◽  
pp. 26-43
Author(s):  
Simerjit Gill ◽  
Raman Paranjape
Keyword(s):  
Health Care ◽  
Research Work ◽  
Healthcare Systems ◽  
Simulation And Modeling ◽  
Agent Based Simulation ◽  
Healthcare Applications ◽  
Recent Contribution ◽  
Agent Based ◽  
Modeling Techniques ◽  
Health Care Modeling

This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare systems. The objective of the summaries is to provide an overview of recent research work in the area and to examine the characteristics of agent-based healthcare applications. The chapter also briefly discusses reasons for adopting agent-based simulation and modeling over traditional modeling techniques.

A Review of Recent Contribution in Agent-Based Health Care Modeling

2011 ◽  
pp. 356-373 ◽  
Author(s):  
Simerjit Gill ◽  
Raman Paranjape
Keyword(s):  
Health Care ◽  
Research Work ◽  
Healthcare Systems ◽  
Simulation And Modeling ◽  
Agent Based Simulation ◽  
Healthcare Applications ◽  
Recent Contribution ◽  
Agent Based ◽  
Modeling Techniques ◽  
Health Care Modeling

This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare systems. The objective of the summaries is to provide an overview of recent research work in the area and to examine the characteristics of agent-based healthcare applications. The chapter also briefly discusses reasons for adopting agent-based simulation and modeling over traditional modeling techniques.

scholarly journals Multi-Agent-Based Simulation of a Complex Ecosystem of Mental Health Care

2015 ◽  
Vol 40 (2) ◽  
Author(s):  
Alan Kalton ◽  
Erin Falconer ◽  
John Docherty ◽  
Dimitris Alevras ◽  
David Brann ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Complex Ecosystem ◽  
Multi Agent

scholarly journals Patients, primary care, and policy: Agent-based simulation modeling for health care decision support

2021 ◽  
Author(s):  
Martin Comis ◽  
Catherine Cleophas ◽  
Christina Büsing
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Care Physicians ◽  
Waiting Times ◽  
Discrete Event ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Individual Level ◽  
Rural Primary Care ◽  
Care Systems

AbstractPrimary 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.

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