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
A generalised simulation system to support strategic resource planning in healthcare
Proceedings of the 29th conference on Winter simulation
Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)
The use of computer simulation to develop hospital systems
ACM SIGSIM Simulation Digest
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Staffing a pandemic urgent care facility during an outbreak of pandemic influenza
Winter Simulation Conference
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Proper management of hospital inpatient admissions involves a large number of decisions that have complex and uncertain consequences for hospital resource utilization and patient flow. Further, inpatient admissions has a significant impact on the hospital's profitability, access, and quality of care. Making effective decisions to drive high quality, efficient hospital behavior is difficult, if not impossible, without the aid of sophisticated decision support. Hancock and Walter (1983) developed such a management system with documented implementation success, but for each hospital the system parameters are "optimized" manually. We present a framework for valuing instances of this management system via simulation and optimizing the system parameters using a genetic algorithm based search. This approach reduces the manual overhead in designing a hospital management system and enables the creation of Pareto efficiency curves to better inform management of the trade-offs between critical hospital metrics when designing a new control system.