Planning and scheduling of semi-urgent surgeries

Research output: Contribution to journalArticleAcademicpeer-review

44 Citations (Scopus)
44 Downloads (Pure)

Abstract

This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries. Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semiurgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of eective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.
Original languageUndefined
Pages (from-to)256-267
Number of pages12
JournalHealth care management science
Volume13
Issue number3
DOIs
Publication statusPublished - 2010

Keywords

  • EWI-18268
  • MSC-60J20
  • MSC-60K25
  • Emergency patient flow
  • Markov Decision Processes
  • Surgical Scheduling
  • Operating Rooms
  • METIS-270966
  • IR-72523
  • Queueing Theory

Cite this

@article{20b86681f8c84542ba9be38a3dd24db5,
title = "Planning and scheduling of semi-urgent surgeries",
abstract = "This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries. Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semiurgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of eective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.",
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author = "Zonderland, {Maartje Elisabeth} and Boucherie, {Richardus J.} and Nelli Litvak and Vleggeert-Lankamp, {Carmen L.A.M.}",
note = "10.1007/s10729-010-9127-6",
year = "2010",
doi = "10.1007/s10729-010-9127-6",
language = "Undefined",
volume = "13",
pages = "256--267",
journal = "Health care management science",
issn = "1386-9620",
publisher = "Kluwer Academic Publishers",
number = "3",

}

Planning and scheduling of semi-urgent surgeries. / Zonderland, Maartje Elisabeth; Boucherie, Richardus J.; Litvak, Nelli; Vleggeert-Lankamp, Carmen L.A.M.

In: Health care management science, Vol. 13, No. 3, 2010, p. 256-267.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Planning and scheduling of semi-urgent surgeries

AU - Zonderland, Maartje Elisabeth

AU - Boucherie, Richardus J.

AU - Litvak, Nelli

AU - Vleggeert-Lankamp, Carmen L.A.M.

N1 - 10.1007/s10729-010-9127-6

PY - 2010

Y1 - 2010

N2 - This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries. Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semiurgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of eective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.

AB - This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries. Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semiurgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of eective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.

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KW - MSC-60J20

KW - MSC-60K25

KW - Emergency patient flow

KW - Markov Decision Processes

KW - Surgical Scheduling

KW - Operating Rooms

KW - METIS-270966

KW - IR-72523

KW - Queueing Theory

U2 - 10.1007/s10729-010-9127-6

DO - 10.1007/s10729-010-9127-6

M3 - Article

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SP - 256

EP - 267

JO - Health care management science

JF - Health care management science

SN - 1386-9620

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ER -