Human error is a significant and ever-growing problem in the healthcare sector. In this study, resource allocation problem is considered along with human errors to optimize utilization of resources in an emergency department. The algorithm is composed of simulation, artificial neural network (ANN), design of experiment (DOE) and fuzzy data envelopment analysis (FDEA). It is a multi-response opt...

Quality improvement (QI) efforts are an indispensable aspect of health care delivery, particularly in an environment of increasing financial and regulatory pressures. The ability to test predictions of proposed changes to flow, policy, staffing, and other process-level changes using discrete event simulation (DES) has shown significant promise and is well reported in the literature. This articl...

Methods We accomplished three training courses with twelve participants attending course. The first two days were theoretical introductions and the third day was a practical exercise, where the theories and tools learned at the first two days were tested in a case-based full-scale simulation with debriefing afterwards. The simulation reflected different set-ups from a busy clinical day where th...

This paper addresses the problem of resource scheduling emergency departments in an uncertain environment. An innovative approach based on Agent-Based Simulation (ABS) and Discrete Event (DES) is proposed. To do so, this first proposes a framework integrating ABS DES. Subsequently, we provide detailed description DES parts model ED. Five combinations strategies – namely, “FIFO+Random” (i.e. FIF...