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Showing 2 results for System Dynamics

Ali Alizadeh Zoeram, Dr Alireza Pooya, Dr Zahra Naji Azimi, Dr Ali Vafaee Najar,
Volume 18, Issue 1 (5-2019)
Abstract

Background: In service organizations such as hospitals, human resources (HR) play a key role in the quality of service delivery. Lack of a systemic attitude in terms of system dynamics, HR planning have been somewhat distant from reality. In order to solve such a problem, this study aimed to modeling the dynamics of human resources capacity management system in healthcare services.
 
Materials and Methods: This case study is one of the cases at a clinic of Khatam -al-Anbia Eye Hospital of Mashhad which was used to simulate the system dynamics approach. In the implementation process, after modeling and formulating in Vensim software, the model was validated and appropriate policies were identified based on simulation results.
 
Results: The simulation results revealed a gap existence between service capacity and desired capacity led to a work pressure. Consequently, time per service relative to the standard time per service (0.333 hours equivalent to 20 minutes) as the core of service quality has been reduced (cutting corners of time).  To counteract such a situation, appropriate policies were identified during the time in a dynamic manner using sensitivity analysis based on changing patient acceptance rates and human resource changes.
 
Conclusion: The proposed model provides the status for hospital managers which allows them to manage appropriate human resources in the same conditions with a viewpoint of causal relationships with respect to system dynamics.
 
Hamid Mohammadi, Shahram Tofighi, Mostafa Rajabi, Hamidreza Izadbakhsh, Bahar Hafezi,
Volume 21, Issue 1 (5-2022)
Abstract

Background: The use of simulation models can help elucidate the intuitive behavior of complex health care problems. Today, the complexity of problems goes far beyond our capacity to solve them manually. System simulation is considered as a wise option by approaching structural problems and understanding the complex interactions within the problems and their changes. The purpose of this study is to review the most advanced applications of system dynamics in healthcare.
Materials and methods: This study is a systematic selection of articles that explored the applications of system dynamics in health care in 11 databases between 1999 and 2019. The focus of this research was on articles with the keywords including system dynamics in health care, dynamic health care analysis, continuous health care simulation or dynamic health care simulation.
Results: 79 articles related to system dynamics applications in healthcare were identified in databases. Eighty-five percent of the articles focused on finance, politics, government, regulation, public health, and health care planning. Among the articles, the patient's treatment path, obesity and demand for healthcare workforce were examined.
Conclusion: The tendency to use continuous simulation in healthcare has increased. However, the power of hybrid simulation can take advantage of the inherent strength of the system dynamics overview perspective, and in a hybrid model it can utilize a holistic perspective for managing health care systems. Potential areas with the application of systems dynamics in future research include planning and policy-making in public health decision-making, purchasing quality management, care and risk.


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