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医院管理软件系统的动态行为和元启发式优化
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore - 632 014, Tamil Nadu, India.
Heliyon
|September 9, 2024
概括
医院管理系统 (HMS) 软件是以排队系统为模式,以优化患者流量和资源使用. 这项研究通过先进的优化方法提高了HMS的成本效益,以提供高效的医疗保健服务.
科学领域:
- 医疗信息学 医疗信息学
- 运营研究 运营研究
- 计算机科学 计算机科学
背景情况:
- 对可访问医疗保健的日益增长的需求加速了医疗服务的数字化.
- 医院管理系统 (HMS) 软件是管理医院运营的关键数字解决方案.
- 现有系统需要进一步调查,以获得最佳的性能和资源配置.
研究的目的:
- 为研究HMS软件功能提出一种新的方法.
- 将HMS建模为一个能够处理各种患者需求和行为的排队系统.
- 提高HMS软件开发的成本效益和资源利用率.
主要方法:
- 将HMS软件描述为一个批次到达重审队列系统 (QS).
- 在排队模型中纳入患者的行为,如拒绝和背叛.
- 使用补充变量技术 (SVT) 进行分析推导.
- 使用自适应神经模糊推理系统 (ANFIS) 来验证结果.
- 应用四种优化方法来提高资源利用率.
主要成果:
- 该研究为理解HMS作为排队系统提供了一个分析框架.
- 该模型考虑了复杂的患者到来和服务动态,包括优先排队.
- 安菲斯验证证实了分析结果的准确性.
- 优化技术显示出提高成本效益和资源效率的潜力.
结论:
- 使用排队理论进行性能分析,可以有效地建模HMS软件.
- 拟议的模型为有效管理患者流和系统资源提供了洞察力.
- 优化策略对于最大化HMS开发和实施的成本效益至关重要.
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