Using soft systems methodology to develop a simulation of out-patient services

Area of Science:

• Operations Research
• Healthcare Management
• Systems Engineering

Background:

• Discrete event simulation (DES) models complex systems using mathematical equations and logical relationships.
• Analytical or numerical methods are often insufficient for intricate problems like out-patient service management.
• Current simulation approaches lack a defined methodology for identifying system boundaries and activities.

Purpose of the Study:

• To integrate soft systems methodology (SSM) with DES for out-patient department simulation.
• To define system boundaries and activities for improved simulation model development.
• To assess the impact of SSM's participatory nature on simulation model acceptance in healthcare.

Main Methods:

• Utilized soft systems methodology (SSM) to define system boundaries and activities.
• Applied discrete event simulation (DES) to model the out-patient department.
• Investigated the participatory aspects of SSM in the simulation process.

Main Results:

• SSM provided a structured approach to identify system boundaries and activities for DES.
• The participatory nature of SSM potentially enhances the acceptability of the simulation model.
• A process was developed to assist healthcare planners and analysts.

Conclusions:

• Combining SSM and DES offers a systemic approach to modeling complex healthcare systems.
• SSM integration improves the definition and boundary setting for simulation models.
• This approach can aid in strategic planning for healthcare services, particularly in out-patient settings.