Lamiell J M
Army Medical Department Center and School, Fort Sam Houston, TX 78234, USA.
Mil Med. 1995 May;160(5):227-32.
A mathematical model revealing the relationships between bed capacity, average patient admission rate, average patient length of stay, utilization rate, and overfill rate in intensive care units is developed and explained. Mathematical model predictions are compared to predictions of two kinds of discrete event intensive care unit simulations and to data from a variety of real intensive care units. This methodology applies to any intensive care unit or hospital ward. There is no significant (p < 0.05) difference between measured utilization and overfill rates assessed in actual intensive care units, the rates obtained by discrete event simulations, and the rates predicted by the intensive care unit model. The intensive care unit census model can enhance rational determination of intensive care unit bed and staff requirements.
开发并解释了一个数学模型，该模型揭示了重症监护病房的床位容量、平均患者入院率、平均患者住院时间、利用率和超额入住率之间的关系。将数学模型的预测结果与两种离散事件重症监护病房模拟的预测结果以及来自各种实际重症监护病房的数据进行了比较。这种方法适用于任何重症监护病房或医院病房。在实际重症监护病房中评估的测量利用率和超额入住率、通过离散事件模拟获得的率以及重症监护病房模型预测的率之间没有显著（p < 0.05）差异。重症监护病房普查模型可以加强对重症监护病房床位和人员需求的合理确定。
