Improving operating room efficiency by applying bin-packing and portfolio techniques to surgical case scheduling

被引:84
作者
Van Houdenhoven, Mark
van Oostrum, Jeroen M.
Hans, Erwin W.
Wullink, Gerhard
Kazemier, Geert
机构
[1] Erasmus Univ, Med Ctr, Dept Operat Rooms, NL-3000 CA Rotterdam, Netherlands
[2] Erasmus Univ, Med Ctr, Dept Anesthesiol, NL-3000 CA Rotterdam, Netherlands
[3] Univ Twente, Dept Operat Methods Prod & Logist, Sch Management & Governance, NL-7500 AE Enschede, Netherlands
[4] Erasmus Univ, Med Ctr, Dept Surg, Rotterdam, Netherlands
关键词
D O I
10.1213/01.ane.0000277492.90805.0f
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
BACKGROUND: An operating room (OR) department has adopted an efficient business model and subsequently investigated how efficiency could be further improved. The aim of this study is to show the efficiency improvement of lowering organizational barriers and applying advanced mathematical techniques. METHODS: We applied advanced mathematical algorithms in combination with scenarios that model relaxation of various organizational barriers using prospectively collected data. The setting is the main inpatient OR department of a university hospital, which sets its surgical case schedules 2 wk in advance using a block planning method. The main outcome measures are the number of freed OR blocks and OR utilization. RESULTS: Lowering organizational barriers and applying mathematical algorithms can yield a 4.5% point increase in OR utilization (95% confidence interval 4.0%-5.0%). This is obtained by reducing the total required OR time. CONCLUSIONS: Efficient OR departments can further improve their efficiency. The paper shows that a radical cultural change that comprises the use of mathematical algorithms and lowering organizational barriers improves OR utilization.
引用
收藏
页码:707 / 714
页数:8
相关论文
共 18 条
[1]   Which algorithm for scheduling add-on elective cases maximizes operating room utilization? Use of bin packing algorithms and fuzzy constraints in operating room management [J].
Dexter, F ;
Macario, A ;
Traub, RD .
ANESTHESIOLOGY, 1999, 91 (05) :1491-1500
[2]   Tactical decision making for selective expansion of operating room resources incorporating financial criteria and uncertainty in subspecialties' future workloads [J].
Dexter, F ;
Ledolter, J ;
Wachtel, RE .
ANESTHESIA AND ANALGESIA, 2005, 100 (05) :1425-1432
[3]   Managing risk and expected financial return from selective expansion of operating room capacity: Mean-variance analysis of a hospital's portfolio of surgeons [J].
Dexter, F ;
Ledolter, J .
ANESTHESIA AND ANALGESIA, 2003, 97 (01) :190-195
[4]   An operating room scheduling strategy to maximize the use of operating room block time: Computer simulation of patient scheduling and survey of patients' preferences for surgical waiting time [J].
Dexter, F ;
Macario, A ;
Traub, RD ;
Hopwood, M ;
Lubarsky, DA .
ANESTHESIA AND ANALGESIA, 1999, 89 (01) :7-20
[5]  
Dexter F, 2003, ANESTHESIOLOGY, V98, P1243
[6]   How to release allocated operating room time to increase efficiency: Predicting which surgical service will have the most underutilized operating room time [J].
Dexter, F ;
Traub, RD ;
Macario, A .
ANESTHESIA AND ANALGESIA, 2003, 96 (02) :507-512
[7]   How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time [J].
Dexter, F ;
Traub, RD .
ANESTHESIA AND ANALGESIA, 2002, 94 (04) :933-942
[8]   Staffing and case scheduling for anesthesia in geographically dispersed locations outside of operating rooms [J].
Dexter, Franklin ;
Macario, Alex ;
Cowen, Daniel S. .
CURRENT OPINION IN ANESTHESIOLOGY, 2006, 19 (04) :453-458
[9]  
HANS EW, 2006, IN PRESS EUR J OPER
[10]  
MAGERLEIN JM, 1978, HEALTH SERV RES, V13, P418