通过进化优化改善医疗急诊室的响应时间
Constantine Kyriakopoulos1, Ilias Gialampoukidis1, Spyridon Kintzios1
1Centre for Research and Technology Hellas, Thessaloniki, Greece.
Studies in health technology and informatics
|June 30, 2023
概括
这项研究引入了一种进化方法,以优化急诊室 (ED) 的患者治疗顺序. 这种适应性方法通过利用实时条件和改善资源管理来减少患者平均治疗时间.
科学领域:
- 医疗保健系统工程 系统工程
- 计算智能是一种计算智能.
- 运营研究 运营研究
背景情况:
- 现代互联网连接使医疗保健控制中心和急救部门 (ED) 之间能够进行高效的通信.
- 医疗保健中的有效资源管理依赖于适应动态运行状态.
- 在ED中优化患者治疗任务顺序可以显著减少平均治疗时间.
研究的目的:
- 调查适应性方法的使用,特别是进化型元启发学,用于EDS中对时间敏感的患者任务排序.
- 通过动态结构化治疗任务订单来提高急救部门的效率.
- 为了减少患者在ED花费的平均时间.
主要方法:
- 实施一种进化方法,以动态结构患者治疗任务订单.
- 利用实时运行条件,包括患者流量和病例严重程度.
- 根据系统运行状态调整资源配置.
主要成果:
- 进化方法成功提高了急诊室的效率.
- 在ED内实现了患者平均治疗时间的缩短.
- 计算执行时间相对于治疗时间的节省而言,成本很小.
结论:
- 进化元启发术对于优化EDs等时间敏感环境中的动态任务排序是有效的.
- 适应性资源分配方法显示出改善医疗保健运营效率的前景.
- 这种方法为减少患者等待时间和提高ED吞吐量提供了一种可行的策略.
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