过程挖掘在医疗保健物流中的应用:一个系统的文献审查协议
Luca Murazzano1,2,3,4, Paolo Landa5,2,3,6, Mohammad Ghafourian Nasiri1,2,3,6
1Département d'opérations et systèmes de décision, Université Laval, Québec City, Quebec, Canada.
BMJ open
|February 13, 2026
概括
本系统性审查探讨了医疗保健物流中的过程挖掘,分析了其对运营效率和资源使用的影响. 结果将指导改善护理提供工作流程.
科学领域:
- 医疗保健 运营 研究 研究 研究
- 在医疗保健中的数据科学.
- 物流管理物流管理
背景情况:
- 医疗保健物流对于及时和高效的医疗服务提供至关重要,包括资源协调和基础设施管理.
- 过程挖掘为复杂的医疗保健后勤工作流提供数据驱动的洞察力,包括患者运输,库存管理和调度.
- 优化医疗保健物流对于改善患者的治疗结果和运营效率至关重要.
研究的目的:
- 系统地审查和综合现有证据在医疗保健物流过程采矿的应用.
- 评估过程挖掘对运营效率,资源利用和服务提供等关键绩效指标的影响.
- 确定与在医疗保健物流环境中实施过程挖掘相关的挑战和局限性.
主要方法:
- 从1999年开始,对多个数据库 (MEDLINE,Embase,Google Scholar,Web of Science,ABI/Inform) 进行了全面的系统搜索.
- 包括多种类型的研究 (观察性研究,案例报告,会议论文,元分析),重点关注医疗保健物流中的过程挖掘.
- 使用混合方法评估工具提取数据和质量评估,然后进行叙事综合和主题分析.
主要成果:
- 该审查将综合有关过程挖掘如何影响医疗保健中的物流效率,可追溯性,资源利用和可持续性的研究结果.
- 分析将涵盖通过数据驱动的洞察力改善工作流程优化和潜在的成本节省.
- 确定常见的实施挑战,数据整合问题以及医疗保健物流当前过程挖掘技术的局限性.
结论:
- 过程挖掘具有通过数据驱动优化增强医疗保健物流的巨大潜力.
- 综合证据将为应用过程挖掘的最佳实践提供信息,以提高运营效率和资源管理.
- 可能需要进一步的研究来解决实施障碍,并完善技术,以应对医疗保健特定的后勤挑战.
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