Simulation of a hospital's surgical suite and critical care area
WSC '92 Proceedings of the 24th conference on Winter simulation
Design of hospital admissions scheduling system using simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Multi-hospital validation of critical care simulation model
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Outpatient health care facility planning and sizing via computer simulation
WSC '84 Proceedings of the 16th conference on Winter simulation
Simulation of a multiple operating room surgical suite
Proceedings of the 38th conference on Winter simulation
Agent-based patient admission scheduling in hospitals
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
A survey on the use of simulation in German healthcare
Proceedings of the Winter Simulation Conference
Managing patient backlog in a surgical suite that uses a block-booking scheduling system
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
Computer simulation has been employed to evaluate proposed changes in the delivery of health care. However, little is known about the utility of simulation approaches for analysis of changes in the delivery of surgical care. We searched eight bibliographic databases for this comprehensive review of the literature published over the past five decades, and found 34 publications that reported on simulation models for the flow of surgical patients. The majority of these publications presented a description of the simulation approach: 91% outlined the underlying assumptions for modeling, 88% presented the system requirements, and 91% described the input and output data. However, only half of the publications reported that models were constructed to address the needs of policy-makers, and only 26% reported some involvement of health system managers and policy-makers in the simulation study. In addition, we found a wide variation in the presentation of assumptions, system requirements, input and output data, and results of simulation-based policy analysis.