Recovery bed planning in cardiovascular surgery: a simulation case study
Recovery bed planning in cardiovascular surgery: a simulation case study
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DOI：
10.1007/s10729-013-9231-5
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发表时间：
2013-12-01
影响因子：
3.6
通讯作者：
Thompson, Jeffrey E.
中科院分区：
文献类型：
--
作者：
Marmor, Yariv N.;Rohleder, Thomas R.;Thompson, Jeffrey E.
重症监护室（ICU）和渐进式护理病房（PCU）中用于心血管外科患者的恢复床是昂贵的医院资源，需要有效的管理。本案例研究报告了离散事件模拟模型的开发和使用，该模型用于预测最低床位需求，以达到马约诊所要求的高患者服务水平。除了结合手术增长和新恢复方案的床位预测外，该模型还用于探索平滑手术时间表和将长期住院患者从ICU转移的影响。该模型预测的床位需求比传统的床位规划方法低30%，实践探索的选项可以大幅减少所需的床位数量。
Recovery beds for cardiovascular surgical patients in the intensive care unit (ICU) and progressive care unit (PCU) are costly hospital resources that require effective management. This case study reports on the development and use of a discrete-event simulation model used to predict minimum bed needs to achieve the high patient service level demanded at Mayo Clinic. In addition to bed predictions that incorporate surgery growth and new recovery protocols, the model was used to explore the effects of smoothing surgery schedules and transferring long-stay patients from the ICU. The model projected bed needs that were 30 % lower than the traditional bed-planning approach and the options explored by the practice could substantially reduce the number of beds required.