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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Genetic Algorithm for Solving Patient- Priority- Based Elective Surgery Scheduling Problem
verfasst von : Yu Wang, Jiafu Tang, Gang Qu
Erschienen in: Life System Modeling and Intelligent Computing
Verlag: Springer Berlin Heidelberg
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Surgery generates the largest cost and revenue in the hospital. The quality of operation directly affects the level of patient satisfaction and economic benefit. This paper focuses on partitioning patients into different priorities according to the state of illness, an optimization model with the aim of maximizing customer satisfaction is established under the consideration of a three-dimensional parameter constraint related patients, operating rooms and medical staffs. An Genetic algorithm is proposed with two-dimensional 0-1 encoding for solving the surgery scheduling problem with the data derived from an upper first-class hospital, the experimental results show the efficiency of the model and algorithm.