INTRODUCTION: Queue models are effective tools for framing management decisions and Danish hospitals could benefit from awareness of such models. Currently, as @entity341 ( @entity341 ) are under reorganization, we deem it timely to empirically investigate the applicability of the standard "M/M/1" queue model in order to document its relevance. MATERIAL AND METHODS: We compared actual versus theoretical distributions of hourly @entity1 flow from 27,000 @entity1 cases seen at Frederiksberg @entity341 . Formulating equations for arrivals and capacity, we wrote and tested a five equation simulation model. RESULTS: The Poisson distribution fitted arrivals with an hour-of-the-day specific parameter. Treatment times exceeding 15 minutes were well-described by an exponential distribution. The @entity341 can be modelled as a black box with an hourly capacity that can be estimated either as admissions per hour when the @entity341 operates full hilt Poisson distribution or from the linear dependency of waiting times on queue number. The results show that our @entity341 capacity is surprisingly constant despite variations in staffing. These findings led to the formulation of a model giving a compact framework for assessing the behaviour of the @entity341 under different assumptions about opening hours, capacity and workload. CONCLUSION: The M/M/1 almost perfectly fits our. Thus modeling and simulations have contributed to the management process. FUNDING: not relevant. TRIAL REGISTRATION: not relevant.

Five easy equations for XXXX flow through an emergency department.

@entity1 :: ('9606', 'Species') :: ['patient'] @entity341 :: ('MESH:D004630', 'Disease') :: ['emergency departments', "Hospital's ED", 'ED']
@entity1 :: (9606,Species) :: ['patient']
