McClean S, Millard P H
Division of Mathematics, School of Information and Software Engineering, University of Ulster, Belfast, UK.
IMA J Math Appl Med Biol. 1995 Sep-Dec;12(3-4):249-57. doi: 10.1093/imammb/12.3-4.249.
The planning of services within a hospital is a complex task which relies on the availability of accurate data. Such data on patterns of bed occupancy enable us to develop tools which assess performance measures based on activity within a hospital and its beds, and hence they improve the efficiency of bed management and they facilitate the more effective use of resources. We report the development of a bed-occupancy-modelling package that uses a mathematical model to separate the pattern of bed occupancy in hospitals into acute, rehabilitative, and long-stay components. The bed-occupancy management and planning system analyses data downloaded from the patient administrative system. A query-by-example function is then used to separate the data into meaningful subgroups, such as age groups, or the various specialties. The underlying model is a mixed exponential where the number of terms in the mixture corresponds to the number of stages in the hospital spell, typically, acute, rehabilitative, and long stay. The software has been used to analyse data from a number of different specialties and services. A 'what-if' capability [correction of capacility] allows the planner to assess the effect of changes prior to their introduction.
医院内部服务规划是一项复杂的任务，它依赖于准确数据的可得性。此类床位占用模式的数据使我们能够开发工具，这些工具基于医院及其床位的活动来评估绩效指标，从而提高床位管理效率并促进资源的更有效利用。我们报告了一个床位占用建模软件包的开发情况，该软件包使用数学模型将医院的床位占用模式分为急性、康复和长期住院三个部分。床位占用管理和规划系统分析从患者管理系统下载的数据。然后使用示例查询功能将数据分成有意义的子组，如年龄组或各个专科。基础模型是一个混合指数模型，其中混合项的数量对应于住院期间的阶段数，通常为急性、康复和长期住院阶段。该软件已用于分析来自多个不同专科和服务的数据。“假设分析”功能使规划者能够在做出改变之前评估其效果。
