离散事件模拟和基于代理的分布式情境意识的基于代理的建模,用于患者流量管理
Abdulrahman A Alhaider1, Nathan Lau2, Osama Alotaik3
1Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Abdullah Bin Amir Street, Al-Kharj, 16278, Kingdom of Saudi Arabia. a.alhaider@psau.edu.sa.
Scientific reports
|August 17, 2025
概括
这项研究量化模拟了医院的分布式情境意识 (DSA). 更新收费护士显著减少了患者运输时间,改善了患者流量管理.
科学领域:
- 医疗保健 运营 研究 研究 研究
- 系统工程 系统工程
- 人类因素工程 人类因素工程
背景情况:
- 有效的情境意识 (SA) 沟通对于有效的患者流量管理和尽量减少住院时间至关重要.
- 量化模型的SA交易可以识别低效率和测试医疗保健系统的干预措施.
研究的目的:
- 使用离散事件模拟 (DES) 和基于代理物的建模 (ABM) 在医院内患者运输中量化建模分布式情境意识 (DSA).
- 评估拟议干预措施对SA缺陷和患者流动的影响.
- 根据历史操作数据验证定量模型.
主要方法:
- 使用DES和ABM基于定性DSA网络,观测和历史数据开发了一种定量DSA模型.
- 使用t测试验证模型,将模拟的运输时间和患者体积与历史数据进行比较.
- 模拟了两个干预措施:在患者到达之前更新收费护士和更新X射线单位.
主要成果:
- 在接客患者之前更新负责护士的干预措施显著减少了平均运输时间和取消率.
- 在患者到达之前更新X射线装置显著增加了运输时间.
- 这项研究是对运营数据进行评估的第一个定量DSA建模.
结论:
- 分布式情境意识 (DSA) 提供了一个可行的框架,用于在复杂的医疗保健系统中对通信和协调进行定量分析.
- 旨在改善SA的干预措施,例如更新负责护士,可以显著提高患者流动的效率.
- 对DSA的定量建模是评估和改进系统级SA和运营性能的一个有价值的工具.
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