Article

Simulation of a multiple operating room surgical suite

Authors:

Brian T. Denton,

Ahmed S. Rahman,

Angela C. BaileyAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 414 - 424

Published: 03 December 2006 Publication History

Abstract

Outpatient surgery scheduling involves the coordination of several activities in an uncertain environment. Due to the very customized nature of surgical procedures there is significant uncertainty in the duration of activities related to the intake process, surgical procedure, and recovery process. Furthermore, there are multiple criteria which must be traded off when considering how to schedule surgical procedures including patient waiting, operating room (OR) team waiting, OR idling, and overtime for the surgical suite. Uncertainty combined with the need to tradeoff many criteria makes scheduling a complex task for OR managers. In this article we present a simulation model for a multiple OR surgical suite, describe some of the scheduling challenges, and illustrate how the model can be used as a decisions aid to improve strategic and operational decision making relating to the delivery of surgical services. All results presented are based on real data collected at Mayo Clinic in Rochester, MN.

References

[1]

Bailey, N. 1952. A study of queues and appointment systems in hospital outpatient departments, with special reference to waiting-times. Journal of the Royal Statistical Society A14:185--189.

[2]

Blake, J. T., and M. Carter. 1997. Surgical process scheduling: A structured review. Journal of the Society of Health Systems 5 (3): 17--30.

[3]

Blake, J. T., and J. Donald. 2002. Mount Sinai hospital uses integer programming to allocate operating room time. Interfaces 32 (2): 63--73.

Digital Library

[4]

Bowers, J., and G. Mould. 2005. Ambulatory care and orthopaedic capacity planning. Health Care Management Science 8:41--47.

[5]

CAB 2001. Surgical services reform: Executive briefing for clinical leaders. Technical report, Washington D.C.: Clinical Advisory Board.

[6]

Charnetski, J. 1984. Scheduling operating room surgical procedure with early and late completion penalty costs. Journal of Operations Management 5:91--102.

[7]

Denton, B. T., and D. Gupta. 2003. A sequential bounding approach for optimal appointment scheduling. IIE Transactions 35:1003--1016.

[8]

Denton, B. T., and A. Vogl. 2006. Stochastic optimization of surgery sequencing and start time scheduling decisions. Working Paper.

[9]

Dexter, F., R. H. Epstein, and E. Marcon. 2005. Strategies to reduce delays in admission into a post anesthesia care unit from operating rooms. Journal of PeriAnesthesia Nursing 20 (2): 92--102.

[10]

Dexter, F., J. Ledolter, and R. E. Wachtel. 2005. Tactical decision making for selective expansion of operating room resources incorporating financial criteria and uncertainty in subspecialtys future workload. Anesthesia & Analgesia 100:1425--1432.

[11]

Dexter, F., A. Macario, R. D. Traub, M. Hopwood, and D. A. Lubarsky. 1999. An operating room scheduling strategy to maximize the use of operating room block time: Computer simulation of patient scheduling and survey of patient preferences for surgical waiting time. Anesthesia & Analgesia 89:7--20.

[12]

Glover, F., and G. Kochenberger. 2003. Handbook of heuristics. Kluwer.

[13]

Goldman, J., H. A. Knappenberger, and W. J. Shearson. 1970. A study of the variability of surgical estimates. Hospital Management 110:46--46D.

[14]

HFMA 2005. Achieving operating room efficiency through process integration. Technical report, Health Care Financial Management Association Report.

[15]

Ho, C.-J., and H.-S. Lau. 1992. Minimizing total cost in scheduling outpatient appointments. Management Science 38:750--764.

Digital Library

[16]

Jansson, B. 1966. Choosing a good appointment system - a study of queues of the type (d,m,1). Operations Research 14:292--312.

Digital Library

[17]

Lovejoy, W. S., and Y. Li. 2002. Hospital operating room capacity expansion. Management Science 48 (11): 1369--1387.

Digital Library

[18]

Magerlein, J. M., and J. B. Martin. 1978. Surgical demand scheduling: A review. Health Services Research 13 (4): 418--433.

[19]

Mercer, A. 1973. Queues with scheduled arrivals: A correction simplification and extension. Journal of the Royal Statistical Society, Series B 35:104--116.

[20]

NAE 2005. Building a better delivery system: A new engineering/health care partnership. Technical report, National Academy of Engineering and Institute of Medicine.

[21]

Przasnyski, Z. 1986. Operating room scheduling: A literature review. AORN Journal 44 (1): 67--79.

[22]

Robinson, L. W., Y. Gerchak, and D. Gupta. 1996. Appointment times which minimize waiting and facility idleness. Technical report, McMaster University. Working Paper.

[23]

Rohleder, T. R., and K. J. Klassen. 2002. Rolling horizon appointment scheduling: A simulation study. Health Care Management Science 5:201--209.

[24]

Sabria, F., and C. F. Daganzo. 1989. Approximate expressions for queuing systems with scheduling arrivals and established service order. Transportation Science 23:159--165.

Digital Library

[25]

Soriano, A. 1966. Comparison of two scheduling systems. Operations Research 14:388--397.

Digital Library

[26]

Vanden Bosch, P. M., and D. C. Dietz. 2000. Minimizing expected waiting time in a medical appointment system. IIE Transactions 32:841--848.

[27]

Wang, P. P. 1993. Static and dynamic scheduling of customer arrivals to a single-server system. Naval Research Logistics 40:345--360.

[28]

Weiss, E. N. 1990. Models for determining the estimated start times and case orderings. IIE Transactions 22 (2): 143--150.

[29]

Welch, J. 1964. Appointment systems in hospital outpatient departments. Operations Research Quarterly 15:224--237.

Cited By

Nino LHarris SClaudio DHuschka TChick S(2016)A simulation of variability-oriented sequencing rules on block surgical schedulingProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042348(2030-2040)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042348
Samudra MVan Riet CDemeulemeester ECardoen BVansteenkiste NRademakers F(2016)Scheduling operating roomsJournal of Scheduling10.1007/s10951-016-0489-619:5(493-525)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s10951-016-0489-6
Saremi AJula PElMekkawy TWang G(2015)Bi-criteria appointment scheduling of patients with heterogeneous service sequencesExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.01.01342:8(4029-4041)Online publication date: 15-May-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.01.013
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Simulation of a multiple operating room surgical suite
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Information

Published In

cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

Sponsors

IIE: Institute of Industrial Engineers
ASA: American Statistical Association
IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IEEE-CS\DATC: The IEEE Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06

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IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Nino LHarris SClaudio DHuschka TChick S(2016)A simulation of variability-oriented sequencing rules on block surgical schedulingProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042348(2030-2040)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042348
Samudra MVan Riet CDemeulemeester ECardoen BVansteenkiste NRademakers F(2016)Scheduling operating roomsJournal of Scheduling10.1007/s10951-016-0489-619:5(493-525)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s10951-016-0489-6
Saremi AJula PElMekkawy TWang G(2015)Bi-criteria appointment scheduling of patients with heterogeneous service sequencesExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.01.01342:8(4029-4041)Online publication date: 15-May-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.01.013
Allen RTaaffe KRitchie GBuckley SMiller J(2014)Surgery rescheduling using discrete event simulationProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694024(1365-1376)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694024
Schultz JClaudio DBuckley SMiller J(2014)Variability based surgical schedulingProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694023(1353-1364)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694023
Shylo OLuangkesorn LProkopyev ORajgopal JSchaefer A(2011)Managing patient backlog in a surgical suite that uses a block-booking scheduling systemProceedings of the Winter Simulation Conference10.5555/2431518.2431676(1319-1329)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431676
Reindl SMönch LMönch MScheider ADunkin AIngalls R(2009)Modeling and simulation of cataract surgery processesWinter Simulation Conference10.5555/1995456.1995723(1937-1945)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995723
Konrad RLawley MDunkin AIngalls R(2009)Input modeling for hospital simulation models using electronic messagesWinter Simulation Conference10.5555/1995456.1995480(134-147)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995480
Huschka TNarr BDenton BThompson AJefferson TFowler JIngalls R(2008)Using simulation in the implementation of an outpatient procedure centerProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517015(1547-1552)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517015
Huschka TDenton BGul SFowler JTew J(2007)Bi-criteria evaluation of an outpatient procedure center via simulationProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351810(1510-1518)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351810

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