Health systems are complex and interacted by multilayered dynamic influences. The changing population structure and with it a shift of disease patterns and incidences, the rapid medical technique progress, the patients’ needs and limited finantial resources are some of the influencing factors, affecting future health systems and health expenditures.

This research seeks to better understand the medical needs and workforce supply using health human resource planning and system dynamics modeling.

Our model was based on System Dynamics(SD). SD is a computer simulation model for structuring complex issues and problems. This model also enables us to address and forecast many real-life phenomena through SD simulation. The approach has been used in a variety of contexts, including health care outcome, health service delivery, workforce planning and health care organizations, to gain an understanding of complex dynamic society.

We analysed that the disequilibrium in the current environment would have occurred at workforce shortage or surplus, which results in an dynamic and nonlinear interacting effect between many variables. Therefore, predetermining the patients’medical behavior and workforce’s productivity should be undertaken to reduce the oscillation.