使用队列理论优化药物调和:计算机实验
W J Kruik-Kollöffel1, G A W Moltman2, M D Wu3,4
1Department of Clinical Pharmacy, Ziekenhuisgroep Twente (Hospital Group Twente), Postbus 7600, Almelo and Hengelo, 7600 SZ, The Netherlands. w.kruik@sxb.nl.
International journal of clinical pharmacy
|May 10, 2024
概括
排队理论通过模拟干预来优化药物调和 (MedRec). 药房技术人员的重新分配和调整时间表使MedRec不完整的出院率从37.2%降至16%.
科学领域:
- 医疗保健 运营 研究 研究 研究
- 医疗保健服务研究 医疗服务研究
背景情况:
- 药物调和 (MedRec) 对于医院的患者护理连续性至关重要,但面临着完成挑战.
- 优化MedRec过程至关重要,以防止患者在和解之前出院.
研究的目的:
- 评估队列理论在比较优化医院药物调和干预措施中的适用性.
- 确定减少在完成MedRec.之前出院的患者率的策略.
主要方法:
- 使用队列理论的计算机模拟模拟了各种MedRec干预.
- 干预措施包括修改通信方法,重新分配药房技术人员 (PT) 和调整工作时间表.
- 由于COVID-19大流行,一个现实世界的后期干预 (延迟PT开始时间) 被纳入.
主要成果:
- 排队模型预测MedRec不完全放电的显著减少,从37.2%降至大约16%.
- 这种减少是通过实施一种情景来实现的,该情景包括较早的PT轮班开始和专用的PT轮班,用于释放MedRec准备.
- 涉及较晚PT开始时间的后期干预显示不完整MedRec的增加,与模拟预测保持一致.
结论:
- 排队理论为模拟和比较MedRec过程干预提供了一种有价值的,非破坏性的方法.
- 模拟确定了特定的干预措施,如优化调度和技术人员重新分配,作为最有效的减少不完全放电MedRec.
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