College of Public Basic Sciences, Jinzhou Medical University, Jinzhou, Liaoning 121001, China.
J Healthc Eng. 2021 Mar 3;2021:6685456. doi: 10.1155/2021/6685456. eCollection 2021.
The continuous progress in modern medicine is not only the level of medical technology, but also various high-tech medical auxiliary equipment. With the rapid development of hospital information construction, medical equipment plays a very important role in the diagnosis, treatment, and prognosis observation of the disease. However, the continuous growth of the types and quantity of medical equipment has caused considerable difficulties in the management of hospital equipment. In order to improve the efficiency of medical equipment management in hospital, based on cloud computing and the Internet of Things, this paper develops a comprehensive management system of medical equipment and uses the improved particle swarm optimization algorithm and chicken swarm algorithm to help the system reasonably achieve dynamic task scheduling. The purpose of this paper is to develop a comprehensive intelligent management system to master the procurement, maintenance, and use of all medical equipment in the hospital, so as to maximize the scientific management of medical equipment in the hospital. . It is very necessary to develop a preventive maintenance plan for medical equipment. From the experimental data, it can be seen that when the system simultaneously accesses 100 simulated users online, the corresponding time for submitting the equipment maintenance application form is 1228 ms, and the accuracy rate is 99.8%. When there are 1000 simulated online users, the corresponding time for submitting the equipment maintenance application form is 5123 ms, and the correct rate is 99.4%. On the whole, the medical equipment management information system has excellent performance in stress testing. It not only predicts the initial performance requirements, but also provides a large amount of data support for equipment management and maintenance.
现代医学的不断进步不仅体现在医疗技术水平上，还体现在各种高科技医疗辅助设备上。随着医院信息化建设的快速发展，医疗设备在疾病的诊断、治疗和预后观察中发挥着非常重要的作用。然而，医疗设备的种类和数量不断增加，给医院设备管理带来了相当大的困难。为了提高医院医疗设备管理效率，本文基于云计算和物联网技术，开发了一种医疗设备综合管理系统，并采用改进的粒子群优化算法和鸡群算法帮助系统合理实现动态任务调度。本文的目的是开发一个综合智能管理系统，以掌握医院所有医疗设备的采购、维护和使用情况，从而最大限度地实现医院医疗设备的科学管理。制定医疗设备预防性维护计划是非常必要的。从实验数据可以看出，当系统同时在线访问 100 个模拟用户时，提交设备维护申请表的相应时间为 1228ms，准确率为 99.8%。当有 1000 个模拟在线用户时，提交设备维护申请表的相应时间为 5123ms，准确率为 99.4%。总的来说，医疗设备管理信息系统在压力测试中具有出色的性能。它不仅预测了初始性能要求，还为设备管理和维护提供了大量数据支持。
