Towards a simulation-based framework for decision support in healthcare quality assessment

This article describes a simulation framework for healthcare quality assessment from the perspective of management and corresponding decision-makers. The proposed framework will allow simulating “what-if” scenarios and getting alternative outcomes in case of decision support systems. In our research, we are dealing with heterogeneous data sources, which combine within data-flow processes. The data flow of the presented framework conceptually combines several modeling methods: discrete-event simulation, agent-based modeling and also includes data analysis. The experiments were executed based on data from the Almazov National Medical Research Centre hospital information and access control systems.