| pubmed-article:19674809 | pubmed:abstractText | It is increasingly recognized that healthcare is a complex system with limited resources and many interacting sources of both positive and negative feedback. Discrete-event simulation (DES) is a tool that readily accommodates questions of capacity planning, throughput management and interacting resources. As a result the use of DES in informing healthcare decision making is increasing. However, understanding when and how to build a DES model and use it for policy making is not yet a common knowledge. | lld:pubmed |
