Heinrichs M, Beekman R, Limburg M
Dept. Clinical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
Stud Health Technol Inform. 2000;77:47-50.
Preceding the implementation of a Stroke Unit (SU), data have been collected and used for building a simulation model of patient flow. This model was subsequently used to estimate the optimal capacity of the SU to be implemented. Because stroke patients require acute hospital care, this implies a highly variable number of immediate admissions. This variability complicates optimizing the capacity. In order to support decisions with regard to staffing (i.e. capacity) of the SU, different scenarios are simulated and compared to provide insight in the trade-off between regular understaffing and a low bed occupancy rate. In 1996 the Department of Neurology of the Academic Medical Center in the Netherlands implemented its SU to improve the quality of care for stroke patients. Data collected in the years 1997 and 1998 that the SU has been operational were evaluated and confirm the predictions made from simulating different scenarios. We conclude that simulation models provide a powerful tool for supporting decision making with regard to resource planning at the departmental level in our hospital.
在实施卒中单元(SU)之前,已收集数据并用于构建患者流程模拟模型。该模型随后被用于估计拟实施的卒中单元的最佳容量。由于卒中患者需要急性医院护理,这意味着即时入院人数高度可变。这种变异性使容量优化变得复杂。为了支持关于卒中单元人员配备(即容量)的决策,模拟并比较了不同场景,以深入了解常规人员不足与低床位占用率之间的权衡。1996年,荷兰学术医疗中心的神经科实施了其卒中单元,以提高卒中患者的护理质量。对卒中单元在1997年和1998年运营期间收集的数据进行了评估,证实了模拟不同场景所做的预测。我们得出结论,模拟模型为支持我院部门层面的资源规划决策提供了一个强大的工具。