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在资源受限的时代最大化手术室和恢复室的容量。

Maximizing operating room and recovery room capacity in an era of constrained resources.

作者信息

Sokal Suzanne M, Craft David L, Chang Yuchiao, Sandberg Warren S, Berger David L

机构信息

Center for Clinical Effectiveness in Surgery and Department of Surgery, Massachusetts General Hospital, Boston 02114, USA.

出版信息

Arch Surg. 2006 Apr;141(4):389-93; discussion 393-5. doi: 10.1001/archsurg.141.4.389.

Abstract

HYPOTHESIS

Three parallel processing operating rooms (ORs) (concurrent induction and turnover) with a dedicated 3-bed mini-recovery room (mini-postanesthesia care unit [PACU]) will optimize patient throughput and main PACU workload when compared with 4 traditional ORs or 4 parallel processing ORs.

DESIGN

Statistical and mathematical models projected the impact of parallel processing on case throughput and PACU use.

SETTING

Academic medical center with 48 traditional ORs using serial induction and turnover and 1 experimental OR, the operating room of the future, with parallel processing.

PARTICIPANTS

All surgical cases from October 2002 through March 2004 (N = 49 887).

INTERVENTIONS

A statistical model projected the duration of induction, surgery, turnover, and PACU stay for cases performed in a traditional OR (n = 48 667) based on the operating room of the future (n = 1220) experience. A fluid queuing model compared each combination using specific probability density functions.

MAIN OUTCOME MEASURES

Each OR configuration was evaluated for case throughput and minutes of work sent to the PACU.

RESULTS

Although all cases save OR time with parallel processing, only select surgeon-case combinations translate time saved into additional cases per day (26%). Without additional PACU slots, output from 4 parallel processing ORs further stresses the PACU. Three parallel processing ORs and a mini-PACU balances incremental volume by offsetting PACU utilization in 84% of cases.

CONCLUSION

In a PACU-constrained environment, 3 parallel processing ORs with a mini-PACU configuration offers increased throughput and decreased PACU workload.

摘要

假设

与4间传统手术室或4间采用并行处理的手术室相比,配备专用3床小型恢复室(小型麻醉后护理单元[PACU])的3间并行处理手术室(同时进行诱导和周转)将优化患者周转率并减轻主PACU的工作量。

设计

统计和数学模型预测了并行处理对病例周转率和PACU使用情况的影响。

地点

拥有48间采用串行诱导和周转的传统手术室以及1间采用并行处理的实验性手术室(未来手术室)的学术医疗中心。

参与者

2002年10月至2004年3月期间的所有外科病例(N = 49887)。

干预措施

基于未来手术室(n = 1220)的经验,统计模型预测了在传统手术室(n = 48667)中进行的病例的诱导、手术、周转和PACU停留时间。流体排队模型使用特定概率密度函数比较了每种组合。

主要观察指标

评估每种手术室配置的病例周转率以及送往PACU的工作分钟数。

结果

尽管并行处理可节省所有病例的手术时间,但只有特定的外科医生 - 病例组合能将节省的时间转化为每天额外的病例数(26%)。如果没有额外的PACU床位,4间并行处理手术室的产出会进一步加重PACU的负担。3间并行处理手术室和一个小型PACU通过抵消84%病例中的PACU利用率来平衡增加的手术量。

结论

在PACU受限的环境中,配备小型PACU配置的3间并行处理手术室可提高周转率并减轻PACU的工作量。

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