Simulation Modeling as a Tool to Evaluate Alternative Configurations of Clinical Laboratories

Abstract

Due to manifold and complex interactions in a clinical laboratory, it is difficult to assess how organizational changes or new equipment may affect overall performance. We present a simulation system that is able to model arbitrary configurations of clinical laboratories. Drawing on the experience of a fixed configuration model we have developed a flexible simulation model.

This model has been validated by several laboratories of different size and organizational structure.

Using the model the laboratory management is able to judge whether the additional cost for new equipment may be justified by better performance or whether performance can be maintained when measures of cost-cutting are taken.