Cost Optimization Estimation of Medical Institutions in the Hierarchical Medical System Based on System Dynamics Model

2019 ◽  
pp. 323-332
Author(s):  
Jiang Wu ◽  
Yao Yao ◽  
Xiao Huang
Keyword(s):  
System Dynamics ◽  
Cost Optimization ◽  
Medical System ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Medical Institutions ◽  
Hierarchical Medical System

scholarly journals Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model

2018 ◽  
Vol Volume 12 ◽  
pp. 207-222 ◽  
Author(s):  
Wenya Yu ◽  
Yipeng Lv ◽  
Chaoqun Hu ◽  
Xu Liu ◽  
Haiping Chen ◽  
...  
Keyword(s):  
System Dynamics ◽  
Mass Casualty ◽  
Medical System ◽  
Mass Casualty Incidents ◽  
Emergency Medical System ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Emergency Medical

A System Dynamics Model of Health Insurance Financing in Austria

2010 ◽  
Vol 20 (2) ◽  
pp. 59-62
Author(s):  
Patrick Einzinger ◽  
Günther Zauner ◽  
G. Ganjeizadeh-Rouhani
Keyword(s):  
Health Insurance ◽  
System Dynamics ◽  
System Dynamics Model ◽  
Dynamics Model

scholarly journals A leverage points analysis of a qualitative system dynamics model for climate change adaptation in agriculture

2021 ◽  
Vol 189 ◽  
pp. 103052
Author(s):  
Sabine Egerer ◽  
Rodrigo Valencia Cotera ◽  
Louis Celliers ◽  
María Máñez Costa
Keyword(s):  
Climate Change ◽  
System Dynamics ◽  
Climate Change Adaptation ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Leverage Points ◽  
Qualitative System Dynamics

scholarly journals Transforming a Liability into an Asset: A System Dynamics Model for Free-Ranging Dog Population Management

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 56
Author(s):  
Urmila Basu Mallick ◽  
Marja H. Bakermans ◽  
Khalid Saeed
Keyword(s):  
System Dynamics ◽  
Social Integration ◽  
Unintended Consequences ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Innovative Strategies ◽  
Management Context ◽  
Free Ranging ◽  
Social Rewards

Using Indian free-ranging dogs (FRD) as a case study, we propose a novel intervention of social integration alongside previously proposed methods for dealing with FRD populations. Our study subsumes population dynamics, funding avenues, and innovative strategies to maintain FRD welfare and provide societal benefits. We develop a comprehensive system dynamics model, featuring identifiable parameters customizable for any management context and imperative for successfully planning a widescale FRD population intervention. We examine policy resistance and simulate conventional interventions alongside the proposed social integration effort to compare monetary and social rewards, as well as costs and unintended consequences. For challenging socioeconomic ecological contexts, policy resistance is best overcome by shifting priority strategically between social integration and conventional techniques. The results suggest that social integration can financially support a long-term FRD intervention, while transforming a “pest” population into a resource for animal-assisted health interventions, law enforcement, and conservation efforts.

scholarly journals A System Dynamics Model to Facilitate the Development of Policy for Urban Heat Island Mitigation

Urban Science ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 19
Author(s):  
Robert Dare
Keyword(s):  
Climate Change ◽  
System Dynamics ◽  
Urban Heat Island ◽  
Future Climate Change ◽  
Specific Information ◽  
Heat Island ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Urban Heat ◽  
Related Mortality

This article presents a customized system dynamics model to facilitate the informed development of policy for urban heat island mitigation within the context of future climate change, and with special emphasis on the reduction of heat-related mortality. The model incorporates a variety of components (incl.: the urban heat island effect; population dynamics; climate change impacts on temperature; and heat-related mortality) and is intended to provide urban planning and related professionals with: a facilitated means of understanding the risk of heat-related mortality within the urban heat island; and location-specific information to support the development of reasoned and targeted urban heat island mitigation policy.

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