Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-12-13 Cooperative journals: 《计算机应用研究》
Abstract： This paper studies the dynamic allocation model of hospital emergency resources in response to the imbalance between supply and demand of emergency resources in hospitals under emergencies. The emergency resource supply in the hospital is relatively scarce due to the increase in the number of patients and the evolution of the patient's injury. Based on the sequential decision theory, this paper designs the changes of patient needs into a Markov decision process and establishes a dynamic allocation model of hospital emergency resources . Then the model is solved by using the basic particle swarm optimization algorithm, which is analyzed by a rescue example of the hospital after an earthquake. The case study shows that the Markov decision-making process can dynamically meet the needs of patients in different states under the evolution of injuries, making the overall resource utilization in emergency rescues to be optimal.
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