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Review Article

Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

Peter J H HulshofCenter for Healthcare Operations Improvement and Research (CHOIR), University of TwenteEnschedethe Netherlands;Industrial Engineering and Business Information Systems, School of Management and Governance, University of TwenteEnschedethe Netherlands

Nikky KortbeekCenter for Healthcare Operations Improvement and Research (CHOIR), University of TwenteEnschedethe Netherlands;Department of Quality and Process InnovationAcademic Medical Center AmsterdamAmsterdamthe Netherlands;Department of Applied MathematicsStochastic Operations Research, University of TwenteEnschedethe NetherlandsCorrespondence[email protected]

Richard J BoucherieCenter for Healthcare Operations Improvement and Research (CHOIR), University of TwenteEnschedethe Netherlands;Department of Applied MathematicsStochastic Operations Research, University of TwenteEnschedethe Netherlands

Erwin W HansCenter for Healthcare Operations Improvement and Research (CHOIR), University of TwenteEnschedethe Netherlands;Industrial Engineering and Business Information Systems, School of Management and Governance, University of TwenteEnschedethe Netherlands

Piet J M BakkerDepartment of Quality and Process InnovationAcademic Medical Center AmsterdamAmsterdamthe Netherlands

Pages 129-175 | Received 27 Jul 2012, Accepted 05 Sep 2012, Published online: 19 Dec 2017

Cite this article
https://doi.org/10.1057/hs.2012.18

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AartsEHLLenstraJKLocal Search in Combinatorial Optimization2003
Google Scholar
AbernathyWJHersheyJCA spatial-allocation model for regional health-services planningOperations Research197220362964210.1287/opre.20.3.629
Web of Science ®Google Scholar
AdanIBekkersJDellaertNJeunetJVissersJImproving operational effectiveness of tactical master plans for emergency and elective patients under stochastic demand and capacitated resourcesEuropean Journal of Operational Research2011213129030810.1016/j.ejor.2011.02.025
Web of Science ®Google Scholar
AdanIBekkersJDellaertNVissersJYuXPatient mix optimisation and stochastic resource requirements: a case study in cardiothoracic surgery planningHealth Care Management Science200912212914110.1007/s10729-008-9080-9
PubMed Web of Science ®Google Scholar
AikenLHClarkeSPSloaneDMSochalskiJSilberJHHospital nurse staffing and patient mortality, nurse burnout, and job dissatisfactionJournal of the American Medical Association2002288161987199310.1001/jama.288.16.1987
PubMed Web of Science ®Google Scholar
AkcaliECôtéMJLinCA network flow approach to optimizing hospital bed capacity decisionsHealth Care Management Science20069439140410.1007/s10729-006-0002-4
PubMedGoogle Scholar
AkkermanRKnipMReallocation of beds to reduce waiting time for cardiac surgeryHealth Care Management Science20047211912610.1023/B:HCMS.0000020651.02085.49
PubMedGoogle Scholar
AnderssonTVärbrandPDecision support tools for ambulance dispatch and relocationJournal of the Operational Research Society200658219520110.1057/palgrave.jors.2602174
Web of Science ®Google Scholar
AnthonyRNPlanning and Control Systems: A Framework for Analysis1965
Google Scholar
ArnaoutJPHeuristics for the maximization of operating rooms utilization using simulationSimulation2010868–957358310.1177/0037549709352497
Google Scholar
AsaduzzamanMChaussaletTJRobertsonNJA loss network model with overflow for capacity planning of a neonatal unitAnnals of Operations Research20101781677610.1007/s10479-009-0548-x
Web of Science ®Google Scholar
AshtonRHagueLBrandrethMWorthingtonDCropperSA simulation-based study of a NHS walk-in centreJournal of the Operational Research Society200556215316110.1057/palgrave.jors.2601883
Web of Science ®Google Scholar
AugustoVXieXPerdomoVOperating theatre scheduling with patient recovery in both operating rooms and recovery bedsComputers & Industrial Engineering201058223123810.1016/j.cie.2009.04.019
Web of Science ®Google Scholar
BabesMSarmaGVOut-patient queues at the Ibn-Rochd health centreJournal of the Operational Research Society1991421084585510.1057/jors.1991.165
Web of Science ®Google Scholar
BagustAPlaceMPosnettJWDynamics of bed use in accommodating emergency admissions: stochastic simulation modelBritish Medical Journal1999319720315515810.1136/bmj.319.7203.155
PubMed Web of Science ®Google Scholar
BallMOLinFLA reliability model applied to emergency service vehicle locationOperations Research1993411183610.1287/opre.41.1.18
Web of Science ®Google Scholar
BaradoJGuerguéJMEsparzaLAzcárateCMallorFOchoaSA mathematical model for simulating daily bed occupancy in an intensive care unitCritical Care Medicine20114041098110410.1097/CCM.0b013e3182374828
Web of Science ®Google Scholar
BardJFPurnomoHWHospital-wide reactive scheduling of nurses with preference considerationsIIE Transactions200537758960810.1080/07408170590948468
Web of Science ®Google Scholar
BarthelERPierceJRGoodhueCJFordHRGrikscheitTCUppermanJSAvailability of a pediatric trauma center in a disaster surge decreases triage time of the pediatric surge population: a population kinetics modelTheoretical Biology and Medical Modelling2011813810.1186/1742-4682-8-38
PubMed Web of Science ®Google Scholar
BaşarAÇatayBÜnlüyurtTA multi-period double coverage approach for locating the emergency medical service stations in IstanbulJournal of the Operational Research Society201062462763710.1057/jors.2010.5
Web of Science ®Google Scholar
BatunSDentonBTHuschkaTRSchaeferAJOperating room pooling and parallel surgery processing under uncertaintyINFORMS Journal on Computing201123222023710.1287/ijoc.1100.0396
Web of Science ®Google Scholar
BayKSLeattPStinsonSMA patient-classification system for long-term careMedical Care198220546848810.1097/00005650-198205000-00004
PubMed Web of Science ®Google Scholar
BeaulieuHFerlandJAGendronBMichelonPA mathematical programming approach for scheduling physicians in the emergency roomHealth Care Management Science20003319320010.1023/A:1019009928005
PubMedGoogle Scholar
BeechRBroughRLFitzsimonsBAThe development of a decision-support system for planning services within hospitalsJournal of the Operational Research Society19904111995100610.1057/jors.1990.158
Web of Science ®Google Scholar
BegenMAQueyranneMAppointment scheduling with discrete random durationsMathematics of Operations Research201136224025710.1287/moor.1110.0489
Web of Science ®Google Scholar
BegurSVMillerDMWeaverJRAn integrated spatial DSS for scheduling and routing home-health care nursesInterfaces1997274354810.1287/inte.27.4.35
Web of Science ®Google Scholar
BekkerRde BruinAMTime-dependent analysis for refused admissions in clinical wardsAnnals of Operations Research20101781456510.1007/s10479-009-0570-z
Web of Science ®Google Scholar
BekkerRKoelemanPMScheduling admissions and reducing variability in bed demandHealth Care Management Science201114311310.1007/s10729-011-9163-x
PubMed Web of Science ®Google Scholar
BeliënJDemeulemeesterEBuilding cyclic master surgery schedules with leveled resulting bed occupancyEuropean Journal of Operational Research200717621185120410.1016/j.ejor.2005.06.063
Web of Science ®Google Scholar
BeliënJDemeulemeesterEA branch-and-price approach for integrating nurse and surgery schedulingEuropean Journal of Operational Research2008189365266810.1016/j.ejor.2006.10.060
Web of Science ®Google Scholar
BeliënJDemeulemeesterECardoenBA decision support system for cyclic master surgery scheduling with multiple objectivesJournal of Scheduling200912214716110.1007/s10951-008-0086-4
Web of Science ®Google Scholar
BennettJCWorthingtonDJAn example of a good but partially successful OR engagement: improving outpatient clinic operationsInterfaces1998285566910.1287/inte.28.5.56
Web of Science ®Google Scholar
BenvenisteRSolving the combined zoning and location problem for several emergency unitsJournal of the Operational Research Society198536543345010.2307/2582882
PubMed Web of Science ®Google Scholar
Benzarti E, Sahin E and Dallery Y (2010) A literature review on operations management based models developed for home health care services. Technical report, Cahier d’fitudes et de Recherche, Ecole Centrale Paris.
Google Scholar
BeraldiPBruniMEA probabilistic model applied to emergency service vehicle locationEuropean Journal of Operational Research2009196132333110.1016/j.ejor.2008.02.027
Web of Science ®Google Scholar
BeraldiPBruniMEConfortiDDesigning robust emergency medical service via stochastic programmingEuropean Journal of Operational Research2004158118319310.1016/S0377-2217(03)00351-5
Web of Science ®Google Scholar
BerlinGNReVelleCElzingaDJDetermining ambulance-hospital locations for on-scene and hospital servicesEnvironment and Planning A19768555356110.1068/a080553
Web of Science ®Google Scholar
BertelsSFahleTA hybrid setup for a hybrid scenario: combining heuristics for the home health care problemComputers & Operations Research200633102866289010.1016/j.cor.2005.01.015
Web of Science ®Google Scholar
BertrandJWMWortmannJCWijngaardJProduction Control: A Structural and Design Oriented Approach1990
Google Scholar
BesterMJNieuwoudtIVan VuurenJHFinding good nurse duty schedules: a case studyJournal of Scheduling200710638740510.1007/s10951-007-0035-7
Web of Science ®Google Scholar
BianchiGChurchRLA hybrid fleet model for emergency medical service system designSocial Science & Medicine198826116317110.1016/0277-9536(88)90055-X
PubMed Web of Science ®Google Scholar
BithellJFA class of discrete-time models for the study of hospital admission systemsOperations Research1969171486910.1287/opre.17.1.48
Web of Science ®Google Scholar
BlairELEricCEA queueing network approach to health care planning with an application to burn care in New York stateSocio-Economic Planning Sciences198115520721610.1016/0038-0121(81)90041-0
PubMed Web of Science ®Google Scholar
BlaisMLapierreSDLaporteGSolving a home-care districting problem in an urban settingJournal of the Operational Research Society200354111141114710.1057/palgrave.jors.2601625
Web of Science ®Google Scholar
BlakeJTCarterMWSurgical process scheduling: a structured reviewJournal of the Society for Health Systems1997531730
PubMedGoogle Scholar
BlakeJTCarterMWA goal programming approach to strategic resource allocation in acute care hospitalsEuropean Journal of Operational Research2002140354156110.1016/S0377-2217(01)00219-3
Web of Science ®Google Scholar
BlakeJTDexterFDonaldJOperating room managers’ use of integer programming for assigning block time to surgical groups: a case studyAnesthesia & Analgesia2002941143148
PubMed Web of Science ®Google Scholar
BlakeJTDonaldJMount Sinai hospital uses integer programming to allocate operating room timeInterfaces2002322637310.1287/inte.32.2.63.57
Web of Science ®Google Scholar
BoldyDHowellNThe geographical allocation of community care resources – a case studyJournal of the Operational Research Society1980312123129
Web of Science ®Google Scholar
BowersJMouldGConcentration and the variability of orthopaedic demandJournal of the Operational Research Society200253220321010.1057/palgrave.jors.2601272
Web of Science ®Google Scholar
BowersJMouldGManaging uncertainty in orthopaedic trauma theatresEuropean Journal of Operational Research2004154359960810.1016/S0377-2217(02)00816-0
Web of Science ®Google Scholar
BrahimiMWorthingtonDJQueueing models for out-patient appointment systems – a case studyJournal of the Operational Research Society1991429733746
Web of Science ®Google Scholar
BrailsfordSCHarperPRPatelBPittMAn analysis of the academic literature on simulation and modelling in health careJournal of Simulation20093313014010.1057/jos.2009.10
Web of Science ®Google Scholar
BrailsfordSCLattimerVATarnarasPTurnbullJCEmergency and on-demand health care: modelling a large complex systemJournal of the Operational Research Society2004551344210.1057/palgrave.jors.2601667
Web of Science ®Google Scholar
BrailsfordSCVissersJMHOR in healthcare: a European perspectiveEuropean Journal of Operational Research2011212222323410.1016/j.ejor.2010.10.026
Web of Science ®Google Scholar
BrandeauMLSainfortFPierskallaWPOperations research and health care: a handbook of methods and applicationsInternational Series in Operations Research & Management Science2004
Google Scholar
BräysyODullaertWNakariPThe potential of optimization in communal routing problems: case studies from FinlandJournal of Transport Geography200917648449010.1016/j.jtrangeo.2008.10.003
Web of Science ®Google Scholar
BräysyONakariPDullaertWNeittaanmäkiPAn optimization approach for communal home meal delivery service: a case studyJournal of Computational and Applied Mathematics20092321465310.1016/j.cam.2008.10.038
Web of Science ®Google Scholar
BredströmDRönnqvistMCombined vehicle routing and scheduling with temporal precedence and synchronization constraintsEuropean Journal of Operational Research20081911193110.1016/j.ejor.2007.07.033
Web of Science ®Google Scholar
BretthauerKMHeeseHSPunHCoeEBlocking in healthcare operations: a new heuristic and an applicationProduction and Operations Management201120337539110.1111/j.1937-5956.2011.01230.x
Web of Science ®Google Scholar
BrotcorneLLaporteGSemetFAmbulance location and relocation modelsEuropean Journal of Operational Research2003147345146310.1016/S0377-2217(02)00364-8
Web of Science ®Google Scholar
BroylesJRCochranJKMontgomeryDCA statistical Markov chain approximation of transient hospital inpatient inventoryEuropean Journal of Operational Research201020731645165710.1016/j.ejor.2010.06.021
Web of Science ®Google Scholar
BrunnerJOBardJFKolischRMidterm scheduling of physicians with flexible shifts using branch and priceIIE Transactions20114328410910.1080/0740817X.2010.504685
Web of Science ®Google Scholar
BrunnerJOEdenharterGLong term staff scheduling of physicians with different experience levels in hospitals using column generationHealth Care Management Science201114218920210.1007/s10729-011-9155-x
PubMed Web of Science ®Google Scholar
BurkeEKDe CausmaeckerPBergheGVVan LandeghemHThe state of the art of nurse rosteringJournal of Scheduling20047644149910.1023/B:JOSH.0000046076.75950.0b
Web of Science ®Google Scholar
BusbyCRCarterMWA decision tool for negotiating home care funding levels in OntarioHome Health Care Services Quarterly200623–49110.1300/J027v25n03_06
Google Scholar
ButlerTWKarwanKRSweigartJRReevesGRAn integrative model-based approach to hospital layoutIIE transactions199224214415210.1080/07408179208964211
Web of Science ®Google Scholar
CalvoABMarksDHLocation of health care facilities: an analytical approachSocio-Economic Planning Sciences19737540742210.1016/0038-0121(73)90039-6
Web of Science ®Google Scholar
CardoenBDemeulemeesterEA decision support system for surgery sequencing at UZ Leuven's day-care departmentInternational Journal of Information Technology and Decision Making201110343510.1142/S0219622011004397
Web of Science ®Google Scholar
CardoenBDemeulemeesterEBeliënJOptimizing a multiple objective surgical case sequencing problemInternational Journal of Production Economics2009119235436610.1016/j.ijpe.2009.03.009
Web of Science ®Google Scholar
CardoenBDemeulemeesterEBeliënJSequencing surgical cases in a day-care environment: an exact branch-and-price approachComputers and Operations Research20093692660266910.1016/j.cor.2008.11.012
Web of Science ®Google Scholar
CardoenBDemeulemeesterEBeliënJOperating room planning and scheduling: a literature reviewEuropean Journal of Operational Research2010201392193210.1016/j.ejor.2009.04.011
Web of Science ®Google Scholar
CarpenterAPLeemisLMPapirASPhillipsDJPhillipsGSManaging magnetic resonance imaging machines: support tools for scheduling and planningHealth Care Management Science201114215817310.1007/s10729-011-9153-z
PubMed Web of Science ®Google Scholar
CarterGMChaikenJMIgnallEResponse areas for two emergency unitsOperations Research197220357159410.1287/opre.20.3.571
Web of Science ®Google Scholar
CarterMWLapierreSDScheduling emergency room physiciansHealth Care Management Science20014434736010.1023/A:1011802630656
PubMedGoogle Scholar
CayirliTVeralEOutpatient scheduling in health care: a review of literatureProduction and Operations Management200312451954910.1111/j.1937-5956.2003.tb00218.x
Web of Science ®Google Scholar
CayirliTVeralERosenHDesigning appointment scheduling systems for ambulatory care servicesHealth Care Management Science200691475810.1007/s10729-006-6279-5
PubMedGoogle Scholar
CeglowskiRChurilovLWasserthielJCombining data mining and discrete event simulation for a value-added view of a hospital emergency departmentJournal of the Operational Research Society200658224625410.1057/palgrave.jors.2602270
Web of Science ®Google Scholar
CeschiaSSchaerfALocal search and lower bounds for the patient admission scheduling problemComputers and Operations Research201138101452146310.1016/j.cor.2011.01.007
Web of Science ®Google Scholar
ChaabaneSMeskensNGuinetALaurentMComparison of two methods of operating theatre planning: application in Belgian hospitalJournal of Systems Science and Systems Engineering200817217118610.1007/s11518-008-5074-x
Web of Science ®Google Scholar
ChahedSMarconESahinEFeilletDDalleryYExploring new operational research opportunities within the home care context: the chemotherapy at homeHealth Care Management Science200912217919110.1007/s10729-009-9099-6
PubMed Web of Science ®Google Scholar
ChandSMoskowitzHNorrisJBShadeSWillisDRImproving patient flow at an outpatient clinic: study of sources of variability and improvement factorsHealth Care Management Science200912332534010.1007/s10729-008-9094-3
PubMed Web of Science ®Google Scholar
ChaussaletTJXieHMillardPA closed queueing network approach to the analysis of patient flow in health care systemsMethods of Information in Medicine2006455492497
PubMed Web of Science ®Google Scholar
CheangBLiHLimARodriguesBNurse rostering problems-a bibliographic surveyEuropean Journal of Operational Research2003151344746010.1016/S0377-2217(03)00021-3
Web of Science ®Google Scholar
ChienCFTsengFPChenCHAn evolutionary approach to rehabilitation patient scheduling: a case studyEuropean Journal of Operational Research200818931234125310.1016/j.ejor.2007.01.062
Web of Science ®Google Scholar
ChowVSPutermanMLSalehiradNHuangWAtkinsDReducing surgical ward congestion through improved surgical scheduling and uncapacitated simulationProduction and Operations Management201120341843010.1111/j.1937-5956.2011.01226.x
Web of Science ®Google Scholar
ChristodoulouGTaylorGJUsing a continuous time hidden Markov process, with covariates, to model bed occupancy of people aged over 65 yearsHealth Care Management Science200141212410.1023/A:1009641430569
PubMedGoogle Scholar
CochranJKBhartiAStochastic bed balancing of an obstetrics hospitalHealth Care Management Science200691314510.1007/s10729-006-6278-6
PubMedGoogle Scholar
CochranJKRocheKA queuing-based decision support methodology to estimate hospital inpatient bed demandJournal of the Operational Research Society200759111471148210.1057/palgrave.jors.2602499
Web of Science ®Google Scholar
CochranJKRocheKTA multi-class queuing network analysis methodology for improving hospital emergency department performanceComputers & Operations Research20093651497151210.1016/j.cor.2008.02.004
Web of Science ®Google Scholar
CoelliTPrasada RaoDSBatteseGEAn Introduction to Efficiency and Productivity Analysis2005
Google Scholar
CohenMAHersheyJCWeissENAnalysis of capacity decisions for progressive patient care hospital facilitiesHealth Services Research1980152145
PubMed Web of Science ®Google Scholar
ConfortiDGuerrieroFGuidoROptimization models for radiotherapy patient scheduling4OR: A Quarterly Journal of Operations Research20086326327810.1007/s10288-007-0050-8
Web of Science ®Google Scholar
ConfortiDGuerrieroFGuidoRNon-block scheduling with priority for radiotherapy treatmentsEuropean Journal of Operational Research2010201128929610.1016/j.ejor.2009.02.016
Web of Science ®Google Scholar
ConfortiDGuerrieroFGuidoRCerinicMMConfortiMLAn optimal decision making model for supporting week hospital managementHealth Care Management Science2011141748810.1007/s10729-010-9144-5
PubMed Web of Science ®Google Scholar
CostaAXRidleySAShahaniAKHarperPRDe SennaVNielsenMSMathematical modelling and simulation for planning critical care capacityAnaesthesia200358432032710.1046/j.1365-2044.2003.03042.x
PubMed Web of Science ®Google Scholar
CêtéMJSyamSSVogelWBCowperDCA mixed integer programming model to locate traumatic brain injury treatment units in the department of veterans affairs: a case studyHealth Care Management Science200710325326710.1007/s10729-007-9018-7
PubMedGoogle Scholar
CreemersSLambrechtMAn advanced queueing model to analyze appointment-driven service systemsComputers & Operations Research200936102773278510.1016/j.cor.2008.12.008
Web of Science ®Google Scholar
DaskinMSSternEHA hierarchical objective set covering model for emergency medical service vehicle deploymentTransportation Science198115213710.1287/trsc.15.2.137
Web of Science ®Google Scholar
DayRWDeanMDGarfinkelRThompsonSImproving patient flow in a hospital through dynamic allocation of cardiac diagnostic testing time slotsDecision Support Systems201049446347310.1016/j.dss.2010.05.007
Web of Science ®Google Scholar
De AngelisVPlanning home assistance for AIDS patients in the city of Rome, ItalyInterfaces1998483758310.1287/inte.28.3.75
Web of Science ®Google Scholar
de BruinAMvan RossumACVisserMCKooleGMModeling the emergency cardiac in-patient flow: an application of queuing theoryHealth Care Management Science200710212513710.1007/s10729-007-9009-8
PubMedGoogle Scholar
De GranoMLMedeirosDJEitelDAccommodating individual preferences in nurse scheduling via auctions and optimizationHealth Care Management Science200912322824210.1007/s10729-008-9087-2
PubMed Web of Science ®Google Scholar
DellaertNJeunetJMincsovicsGBudget allocation for permanent and contingent capacity under stochastic demandInternational Journal of Production Economics2011131112813810.1016/j.ijpe.2010.03.002
Web of Science ®Google Scholar
DemeesterPSouffriauWDe CausmaeckerPVanden BergheGA hybrid Tabu search algorithm for automatically assigning patients to bedsArtificial Intelligence in Medicine2010481617010.1016/j.artmed.2009.09.001
PubMed Web of Science ®Google Scholar
DentonBTGuptaDA sequential bounding approach for optimal appointment schedulingIIE Transactions200335111003101610.1080/07408170304395
Web of Science ®Google Scholar
DentonBTMillerAJBalasubramanianHJHuschkaTROptimal allocation of surgery blocks to operating rooms under uncertaintyOperations Research2010584-Part-180281610.1287/opre.1090.0791
Web of Science ®Google Scholar
DentonBTViapianoJVoglAOptimization of surgery sequencing and scheduling decisions under uncertaintyHealth Care Management Science2007101132410.1007/s10729-006-9005-4
PubMedGoogle Scholar
DesaiMSPennMLBrailsfordSChipuluMModelling of Hampshire adult services – gearing up for future demandsHealth Care Management Science200811216717610.1007/s10729-007-9049-0
PubMed Web of Science ®Google Scholar
DexterFDesign of appointment systems for preanesthesia evaluation clinics to minimize patient waiting times: a review of computer simulation and patient survey studiesAnesthesia & Analgesia1999894925931
PubMed Web of Science ®Google Scholar
Dexter F (2012) Bibliography of operating room management articles. Retrieved 10 May 2012, from: http://www.franklindexter.com/.
Google Scholar
DexterFEpsteinRHMarshHMA statistical analysis of weekday operating room anesthesia group staffing costs at nine independently managed surgical suitesAnesthesia & Analgesia20019261493149810.1097/00000539-200106000-00028
PubMed Web of Science ®Google Scholar
DexterFLedolterJBayesian prediction bounds and comparisons of operating room times even for procedures with few or no historic dataAnesthesiology200510361259126710.1097/00000542-200512000-00023
PubMed Web of Science ®Google Scholar
DexterFMacarioADecrease in case duration required to complete an additional case during regularly scheduled hours in an operating room suite: a computer simulation studyAnesthesia & Analgesia19998817276
PubMed Web of Science ®Google Scholar
DexterFMacarioALubarskyDAThe impact on revenue of increasing patient volume at surgical suites with relatively high operating room utilizationAnesthesia & Analgesia20019251215122110.1097/00000539-200105000-00025
PubMed Web of Science ®Google Scholar
DexterFMacarioAO’NeillLA strategy for deciding operating room assignments for second-shift anesthetistsAnesthesia & Analgesia1999894920924
PubMed Web of Science ®Google Scholar
DexterFMacarioAO’NeillLScheduling surgical cases into overflow block time – Computer simulation of the effects of scheduling strategies on operating room labor costsAnesthesia & Analgesia200090498098810.1213/00000539-200004000-00038
PubMed Web of Science ®Google Scholar
DexterFMacarioATraubRDOptimal sequencing of urgent surgical casesJournal of Clinical Monitoring and Computing199915315316210.1023/A:1009941214632
PubMed Web of Science ®Google Scholar
DexterFMacarioATraubRDWhich algorithm for scheduling add-on elective cases maximizes operating room utilization?: Use of bin packing algorithms and fuzzy constraints in operating room managementAnesthesiology19999151491150010.1097/00000542-199911000-00043
PubMed Web of Science ®Google Scholar
DexterFMacarioATraubRDHopwoodMLubarskyDAAn operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patientsŠ preferences for surgical waiting timeAnesthesia & Analgesia1999891720
PubMed Web of Science ®Google Scholar
DexterFMacarioATraubRDLubarskyDAOperating room utilization alone is not an accurate metric for the allocation of operating room block time to individual surgeons with low caseloadsAnesthesiology20039851243124910.1097/00000542-200305000-00029
PubMed Web of Science ®Google Scholar
DexterFTraubRDStatistical method for predicting when patients should be ready on the day of surgeryAnesthesiology2000934110710.1097/00000542-200010000-00036
PubMed Web of Science ®Google Scholar
DexterFTraubRDHow to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room timeAnesthesia & Analgesia200294493394210.1097/00000539-200204000-00030
PubMed Web of Science ®Google Scholar
DexterFTraubRDLebowitzPScheduling a delay between different surgeons’ cases in the same operating room on the same day using upper prediction bounds for case durationsAnesthesia & Analgesia200192494394610.1097/00000539-200104000-00028
PubMed Web of Science ®Google Scholar
DexterFTraubRDMacarioAHow to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room timeAnesthesia & Analgesia2003962507512
PubMed Web of Science ®Google Scholar
DexterFWachtelREEpsteinRHLedolterJToddMMAnalysis of operating room allocations to optimize scheduling of specialty rotations for anesthesia traineesAnesthesia & Analgesia2010111252052410.1213/ANE.0b013e3181e2fe5b
PubMed Web of Science ®Google Scholar
DexterFWachtelRESohnMWLedolterJDexterEUMacarioAQuantifying effect of a hospital's caseload for a surgical specialty on that of another hospital using multi-attribute market segmentsHealth Care Management Science20058212113110.1007/s10729-005-0395-5
PubMedGoogle Scholar
DobsonGHasijaSPinkerEJReserving capacity for urgent patients in primary careProduction and Operations Management201120345647310.1111/j.1937-5956.2011.01227.x
Web of Science ®Google Scholar
DobsonGLeeHHPinkerEA model of ICU bumpingOperations Research20105861564157610.1287/opre.1100.0861
Web of Science ®Google Scholar
DokmeciVFPlanning ambulatory health care delivery systemsOmega19764561762210.1016/0305-0483(76)90012-8
Web of Science ®Google Scholar
Dong-GuenKYeong-DaeKA branch and bound algorithm for determining locations of long-term care facilitiesEuropean Journal of Operational Research2010206116817710.1016/j.ejor.2010.02.001
Web of Science ®Google Scholar
DumasMBSimulation modeling for hospital bed planningSimulation19844326910.1177/003754978404300201
Google Scholar
DumasMBHospital bed utilization: an implemented simulation approach to adjusting and maintaining appropriate levelsHealth Services Research198520143
PubMed Web of Science ®Google Scholar
EatonDJDetermining ambulance deployment in Santo Domingo, Dominican RepublicJournal of the Operational Research Society198637211312610.1057/jors.1986.21
Web of Science ®Google Scholar
EBSCOhost (2012) http://www.ebscohost.com/, accessed 10 May 2012.
Google Scholar
EdwardGMDasSFElkhuizenSGBakkerPJMHontelezJAMHollmannMWPreckelBLemaireLCSimulation to analyse planning difficulties at the preoperative assessment clinicBritish Journal of Anaesthesia2008100219520210.1093/bja/aem366
PubMed Web of Science ®Google Scholar
El-DarziEVasilakisCChaussaletTMillardPHA simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric departmentHealth Care Management Science19981214314910.1023/A:1019054921219
PubMedGoogle Scholar
ElkhuizenSGDasSFBakkerPJMHontelezJAMUsing computer simulation to reduce access time for outpatient departmentsBritish Medical Journal2007165382386
Google Scholar
ErdoganGErkutEIngolfssonALaporteGScheduling ambulance crews for maximum coverageJournal of the Operational Research Society201061454355010.1057/jors.2008.163
Web of Science ®Google Scholar
ErkutEIngolfssonAErdoğanGAmbulance location for maximum survivalNaval Research Logistics2008551425810.1002/nav.20267
Web of Science ®Google Scholar
ErnstATJiangHKrishnamoorthyMSierDStaff scheduling and rostering: a review of applications, methods and modelsEuropean Journal of Operational Research2004153132710.1016/S0377-2217(03)00095-X
Web of Science ®Google Scholar
EsogbueAOSinghAJA stochastic model for an optimal priority bed distribution problem in a hospital wardOperations Research197624588489810.1287/opre.24.5.884
Web of Science ®Google Scholar
EvebornPFlisbergPRonnqvistMLaps care-an operational system for staff planning of home careEuropean Journal of Operational Research2006171396297610.1016/j.ejor.2005.01.011
Web of Science ®Google Scholar
EvebornPRönnqvistMEinarsdóttirHEklundMLidénKAlmrothMOperations research improves quality and efficiency in home careInterfaces2009391183410.1287/inte.1080.0411
Web of Science ®Google Scholar
EverettJEA decision support simulation model for the management of an elective surgery waiting systemHealth Care Management Science200252899510.1023/A:1014468613635
PubMedGoogle Scholar
FaddyMJGravesNPettittAModeling length of stay in hospital and other right skewed data: comparison of phase-type, gamma and log-normal distributionsValue in Health200912230931410.1111/j.1524-4733.2008.00421.x
PubMed Web of Science ®Google Scholar
FaddyMJMcCleanSIMarkov chain modelling for geriatric patient careMethods of Information in Medicine-Methodik der Information in der Medizin2005443369373
PubMed Web of Science ®Google Scholar
FaddyMJMcCleanSIUsing a multi-state model to enhance understanding of geriatric patient careAustralian Health Review2007311919710.1071/AH070091
PubMed Web of Science ®Google Scholar
FeiHChuCMeskensNSolving a tactical operating room planning problem by a column-generation-based heuristic procedure with four criteriaAnnals of Operations Research200916619110810.1007/s10479-008-0413-3
Web of Science ®Google Scholar
FeiHChuCMeskensNArtibaASolving surgical cases assignment problem by a branch-and-price approachInternational Journal of Production Economics200811219610810.1016/j.ijpe.2006.08.030
Web of Science ®Google Scholar
FeiHMeskensNChuCA planning and scheduling problem for an operating theatre using an open scheduling strategyComputers & Industrial Engineering201058222123010.1016/j.cie.2009.02.012
Web of Science ®Google Scholar
FetterRBThompsonJDThe simulation of hospital systemsOperations Research196513568971110.1287/opre.13.5.689
Web of Science ®Google Scholar
FetterRBThompsonJDPatients’ waiting time and doctors’ idle time in the outpatient settingHealth Services Research1966116690
PubMed Web of Science ®Google Scholar
FitzsimmonsJAA methodology for emergency ambulance deploymentManagement Science197319662763610.1287/mnsc.19.6.627
Web of Science ®Google Scholar
FletcherAHalsallDHuxhamSWorthingtonDThe DH accident and emergency department model: a national generic model used locallyJournal of the Operational Research Society200658121554156210.1057/palgrave.jors.2602344
Web of Science ®Google Scholar
FoneDHollinghurstSTempleMRoundALesterNWeightmanARobertsKCoyleEBevanGPalmerSSystematic review of the use and value of computer simulation modelling in population health and health care deliveryJournal of Public Health200325432510.1093/pubmed/fdg075
Web of Science ®Google Scholar
FriesBEBibliography of operations research in health care systemsOperations Research197624580181410.1287/opre.24.5.801
Web of Science ®Google Scholar
FriesBEMaratheVPDetermination of optimal variable-sized multiple-block appointment systemsOperations Research198129232434510.1287/opre.29.2.324
PubMed Web of Science ®Google Scholar
FriesBESchneiderDPFoleyWJGavazziMBurkeRCorneliusERefining a case-mix measure for nursing homes: resource utilization groups (RUG-III)Medical Care199432766810.1097/00005650-199407000-00002
PubMed Web of Science ®Google Scholar
FujiwaraOMakjamroenTGuptaKKAmbulance deployment analysis: a case study of BangkokEuropean Journal of Operational Research198731191810.1016/0377-2217(87)90130-5
Web of Science ®Google Scholar
Fung Kon JinPHPDijkgraafMGWAlonsCLvan KuijkCBeenenLFMKooleGMGoslingsJCImproving CT scan capabilities with a new trauma workflow concept: simulation of hospital logistics using different CT scanner scenariosEuropean Journal of Radiology201180250450910.1016/j.ejrad.2009.11.026
PubMed Web of Science ®Google Scholar
GallivanSUtleyMA technical note concerning emergency bed demandHealth Care Management Science20111431310.1007/s10729-011-9158-7
PubMed Web of Science ®Google Scholar
GallivanSUtleyMTreasureTValenciaOBooked inpatient admissions and hospital capacity: mathematical modelling studyBritish Medical Journal2002324733228028210.1136/bmj.324.7332.280
PubMed Web of Science ®Google Scholar
GanguliSThamJCD’OtheeBMJEstablishing an outpatient clinic for minimally invasive vein careAmerican Journal of Roentgenology200718861506151110.2214/AJR.06.0836
PubMed Web of Science ®Google Scholar
Garcia-NavarroJAThompsonWAAnalysis of bed usage and occupancy following the introduction of geriatric rehabilitative care in a hospital in Huesca, SpainHealth Care Management Science200141636610.1023/A:1009657817365
PubMedGoogle Scholar
GargLMcCleanSMeenanBMillardPA non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare systemHealth Care Management Science201013215516910.1007/s10729-009-9120-0
PubMed Web of Science ®Google Scholar
GendreauMLaporteGSemetFThe maximal expected coverage relocation problem for emergency vehiclesJournal of the Operational Research Society2005571222810.1057/palgrave.jors.2601991
Web of Science ®Google Scholar
GengNXieXAugustoVJiangZA Monte Carlo optimization and dynamic programming approach for managing MRI examinations of stroke patientsIEEE Transactions on Automatic Control201156112515252910.1109/TAC.2011.2112390
Web of Science ®Google Scholar
GerchakYGuptaDHenigMReservation planning for elective surgery under uncertain demand for emergency surgeryManagement Science199642332133410.1287/mnsc.42.3.321
Web of Science ®Google Scholar
GeroliminisNKepaptsoglouKKarlaftisMGA hybrid hypercube-genetic algorithm approach for deploying many emergency response mobile units in an urban networkEuropean Journal of Operational Research2011210228730010.1016/j.ejor.2010.08.031
Web of Science ®Google Scholar
GillespieJMcCleanSScotneyBGargLBartonMFullertonKCosting hospital resources for stroke patients using phase-type modelsHealth Care Management Science20111413113
PubMed Web of Science ®Google Scholar
GnanletAGillandWGSequential and simultaneous decision making for optimizing health care resource flexibilitiesDecision Sciences200940229532610.1111/j.1540-5915.2009.00231.x
Web of Science ®Google Scholar
GocgunYBresnahanBWGhateAGunnMLA Markov decision process approach to multi-category patient scheduling in a diagnostic facilityArtificial Intelligence in Medicine2011532738110.1016/j.artmed.2011.06.001
PubMed Web of Science ®Google Scholar
GoldbergJDietrichRChenJMMitwasiMValenzuelaTCrissEA simulation model for evaluating a set of emergency vehicle base locations: development, validation, and usageSocio-Economic Planning Sciences199024212514110.1016/0038-0121(90)90017-2
PubMed Web of Science ®Google Scholar
GoldbergJDietrichRChenJMMitwasiMGValenzuelaTCrissEValidating and applying a model for locating emergency medical vehicles in Tuczon, AZEuropean Journal of Operational Research199049330832410.1016/0377-2217(90)90402-W
Web of Science ®Google Scholar
GoldmanJKnappenbergerHAEllerJCEvaluating bed allocation policy with computer simulationHealth Services Research196832119129
PubMedGoogle Scholar
GörmezNKöksalanMSalmanFSLocating disaster response facilities in IstanbulJournal of the Operational Research Society20106271239125210.1057/jors.2010.67
Web of Science ®Google Scholar
GorunescuFMcCleanSIMillardPHA queueing model for bed-occupancy management and planning of hospitalsJournal of the Operational Research Society2002531192410.1057/palgrave/jors/2601244
Web of Science ®Google Scholar
GorunescuFMcCleanSIMillardPHUsing a queueing model to help plan bed allocation in a department of geriatric medicineHealth Care Management Science20025430731210.1023/A:1020342509099
PubMedGoogle Scholar
GoveDHewettDShahaniATowards a model for hospital case-load decision supportMathematical Medicine and Biology1995123–432933810.1093/imammb/12.3-4.329
Web of Science ®Google Scholar
GravesSCLeffHSNatkinsJSengerMA simple stochastic model for facility planning in a mental health care systemInterfaces198313510111010.1287/inte.13.5.101
Web of Science ®Google Scholar
Green LV (2006) Queueing analysis in healthcare. In International Series in Operations Research & Management Science (Hall RW, Ed), Vol. 91, pp 281–307.
Google Scholar
GreenLVKolesarPJImproving emergency responsiveness with management scienceManagement Science20045081001101410.1287/mnsc.1040.0253
Web of Science ®Google Scholar
GreenLVKolesarPJSoaresJImproving the SIPP approach for staffing service systems that have cyclic demandsOperations Research200149454956410.1287/opre.49.4.549.11228
Web of Science ®Google Scholar
GreenLVKolesarPJWhittWCoping with time-varying demand when setting staffing requirements for a service systemProduction and Operations Management2007161133910.1111/j.1937-5956.2007.tb00164.x
Web of Science ®Google Scholar
GreenLVNguyenVStrategies for cutting hospital beds: the impact on patient serviceHealth Services Research2001362421442
PubMed Web of Science ®Google Scholar
GreenLVSavinSReducing delays for medical appointments: a queueing approachOperations Research20085661526153810.1287/opre.1080.0575
Web of Science ®Google Scholar
GreenLVSavinSWangBManaging patient service in a diagnostic medical facilityOperations Research2006541112510.1287/opre.1060.0242
Web of Science ®Google Scholar
GreenLVSoaresJGiglioJFGreenRAUsing queueing theory to increase the effectiveness of emergency department provider staffingAcademic Emergency Medicine2006131616810.1111/j.1553-2712.2006.tb00985.x
PubMed Web of Science ®Google Scholar
GriffinJXiaSPengSKeskinocakPImproving patient flow in an obstetric unitHealth Care Management Science201215111410.1007/s10729-011-9175-6
PubMed Web of Science ®Google Scholar
GriffithsJDPrice-LloydNSmithiesMWilliamsJEModelling the requirement for supplementary nurses in an intensive care unitJournal of the Operational Research Society200556212613310.1057/palgrave.jors.2601882
Web of Science ®Google Scholar
GuerrieroFGuidoROperational research in the management of the operating theatre: a surveyHealth Care Management Science20111418911410.1007/s10729-010-9143-6
PubMed Web of Science ®Google Scholar
GuinetAChaabaneSOperating theatre planningInternational Journal of Production Economics2003851698110.1016/S0925-5273(03)00087-2
Web of Science ®Google Scholar
GulSDentonBTFowlerJWHuschkaTBi-criteria scheduling of surgical services for an outpatient procedure centerProduction and Operations Management201120340641710.1111/j.1937-5956.2011.01232.x
Web of Science ®Google Scholar
GüneşEDModeling time allocation for prevention in primary careCentral European Journal of Operations Research200917335938010.1007/s10100-009-0094-2
Web of Science ®Google Scholar
GuptaDSurgical suites’ operations managementProduction and Operations Management200716668970010.1111/j.1937-5956.2007.tb00289.x
Web of Science ®Google Scholar
GuptaDDentonBAppointment scheduling in health care: challenges and opportunitiesIIE Transactions200840980081910.1080/07408170802165880
Web of Science ®Google Scholar
GuptaDWangLRevenue management for a primary-care clinic in the presence of patient choiceOperations Research-Baltimore200856357659210.1287/opre.1080.0542
Web of Science ®Google Scholar
HallRWPatient flow: reducing delay in healthcare deliveryInternational Series in Operations Research & Management Science2006
Google Scholar
Hans E.W., van Houdenhoven M and Hulshof PJH (2012) A framework for health care planning and control. In International Series in Operations Research & Management Science (Hall RW, Ed), pp 303–320, Vol. 168, Springer, New York, NY.
Google Scholar
HansEWWullinkGvan HoudenhovenMKazemierGRobust surgery loadingEuropean Journal of Operational Research200818531038105010.1016/j.ejor.2006.08.022
Web of Science ®Google Scholar
HareWLAlimadadADoddHFergusonRRutherfordAA deterministic model of home and community care client counts in British ColumbiaHealth Care Management Science2009121809810.1007/s10729-008-9082-7
PubMed Web of Science ®Google Scholar
HarewoodSIEmergency ambulance deployment in Barbados: a multi-objective approachJournal of the Operational Research Society200253218519210.1057/palgrave.jors.2601250
Web of Science ®Google Scholar
HarperPRA framework for operational modelling of hospital resourcesHealth Care Management Science20025316517310.1023/A:1019767900627
PubMedGoogle Scholar
HarperPRGamlinHMReduced outpatient waiting times with improved appointment scheduling: a simulation modelling approachOR Spectrum200325220722210.1007/s00291-003-0122-x
Web of Science ®Google Scholar
HarperPRKnightVAMarshallAHDiscrete conditional phase-type models utilising classification trees: application to modelling health service capacitiesEuropean Journal of Operational Research2011219352253010.1016/j.ejor.2011.10.035
Web of Science ®Google Scholar
HarperPRPowellNHWilliamsJEModelling the size and skill-mix of hospital nursing teamsJournal of the Operational Research Society200961576877910.1057/jors.2009.43
Web of Science ®Google Scholar
HarperPRShahaniAKModelling for the planning and management of bed capacities in hospitalsJournal of the Operational Research Society2002531111810.1057/palgrave/jors/2601278
Web of Science ®Google Scholar
HarperPRShahaniAKGallagherJEBowieCPlanning health services with explicit geographical considerations: a stochastic location-allocation approachOmega200533214115210.1016/j.omega.2004.03.011
Web of Science ®Google Scholar
HarrisRAHospital bed requirements planningEuropean Journal of Operational Research198625112112610.1016/0377-2217(86)90121-9
Web of Science ®Google Scholar
HarrisonGWEscobarGJLength of stay and imminent discharge probability distributions from multistage models: variation by diagnosis, severity of illness, and hospitalHealth Care Management Science201013326827910.1007/s10729-010-9128-5
PubMed Web of Science ®Google Scholar
HarrisonGWMillardPHBalancing acute and long-term care: the mathematics of throughput in departments of geriatric medicineMethods of Information in Medicine1991303221
PubMed Web of Science ®Google Scholar
HarrisonGWShaferAMackayMModelling variability in hospital bed occupancyHealth Care Management Science20058432533410.1007/s10729-005-4142-8
PubMedGoogle Scholar
HelmJEAhmad BeygiSVan OyenMPDesign and analysis of hospital admission control for operational effectivenessProduction and Operations Management201120335937410.1111/j.1937-5956.2011.01231.x
Web of Science ®Google Scholar
HerringWLHerrmannJWThe single-day surgery scheduling problem: sequential decision making and threshold-based heuristicsOR Spectrum201234242945910.1007/s00291-011-0270-3
Web of Science ®Google Scholar
HersheyJCWeissENCohenMAA stochastic service network model with application to hospital facilitiesOperations Research198129112210.1287/opre.29.1.1
PubMed Web of Science ®Google Scholar
HertzALahrichiNA patient assignment algorithm for home care servicesJournal of the Operational Research Society200960448149510.1057/palgrave.jors.2602574
Web of Science ®Google Scholar
HillierFIntroduction to Operations Research2009
Google Scholar
HoandCJLauHSMinimizing total cost in scheduling outpatient appointmentsManagement Science199238121750176410.1287/mnsc.38.12.1750
Web of Science ®Google Scholar
HoCJLauHSEvaluating the impact of operating conditions on the performance of appointment scheduling rules in service systemsEuropean Journal of Operational Research1999112354255310.1016/S0377-2217(97)00393-7
Web of Science ®Google Scholar
HsuVNde MattaRLeeCYScheduling patients in an ambulatory surgical centerNaval Research Logistics200350321823810.1002/nav.10060
Web of Science ®Google Scholar
HuangRKimSMenezesMBCFacility location for large-scale emergenciesAnnals of Operations Research2010181127128610.1007/s10479-010-0736-8
Web of Science ®Google Scholar
HuangXMA planning model for requirement of emergency bedsMathematical Medicine and Biology1995123–434510.1093/imammb/12.3-4.345
Web of Science ®Google Scholar
HuangXMDecision making support in reshaping hospital medical servicesHealth Care Management Science19981216517310.1023/A:1019050720311
PubMedGoogle Scholar
HughesWLSolimanSYShort-term case mix management with linear programmingHospital & Health Services Administration19853015260
PubMedGoogle Scholar
HulshofPJHBoucherieRJvan EssenJTHansEWHurinkJLKortbeekNLitvakNVanberkelPTVan der VeenEVeltmanBVliegenIMHZonderlandMEORchestra: an online reference database of OR/MS literature in health careHealth Care Management Science201114438338410.1007/s10729-011-9169-4
PubMed Web of Science ®Google Scholar
HulshofPJHVanberkelPTBoucherieRJHansEWVan HoudenhovenMvan OmmerenJCWAnalytical models to determine room requirements in outpatient clinicsOR Spectrum2012342, SI39140510.1007/s00291-012-0287-2
Web of Science ®Google Scholar
INFORMS Website (2012) http://www.informs.org/, accessed 10 May 2012.
Google Scholar
IngolfssonABudgeSErkutEOptimal ambulance location with random delays and travel timesHealth Care Management Science200811326227410.1007/s10729-007-9048-1
PubMed Web of Science ®Google Scholar
IngolfssonAErkutEBudgeSSimulation of single start station for Edmonton EMSJournal of the Operational Research Society200354773674610.1057/palgrave.jors.2601574
Web of Science ®Google Scholar
IrvineVMcCleanSMillardPStochastic models for geriatric in-patient behaviourMathematical Medicine and Biology199411320710.1093/imammb/11.3.207
Web of Science ®Google Scholar
IskenMWWardTJLittigSJAn open source software project for obstetrical procedure scheduling and occupancy analysisHealth Care Management Science2011141567310.1007/s10729-010-9141-8
PubMed Web of Science ®Google Scholar
JackEPPowersTLA review and synthesis of demand management, capacity management and performance in health care servicesInternational Journal of Management Reviews200911214917410.1111/j.1468-2370.2008.00235.x
Web of Science ®Google Scholar
JaumardBSemetFVovorTA generalized linear programming model for nurse schedulingEuropean Journal of Operational Research1998107111810.1016/S0377-2217(97)00330-5
Web of Science ®Google Scholar
JebaliAAlouaneHAtidelBLadetPOperating rooms schedulingInternational Journal of Production Economics2006991–2526210.1016/j.ijpe.2004.12.006
Web of Science ®Google Scholar
JensenPABardJFOperations Research Models and Methods2003
Google Scholar
JiaHOrdóñezFDessoukyMA modeling framework for facility location of medical services for large-scale emergenciesIIE Transactions2007391415510.1080/07408170500539113
Web of Science ®Google Scholar
JoustraPEde WitJStrubenVMDOverbeekBJHFockensPElkhuizenSGReducing access times for an endoscopy department by an iterative combination of computer simulation and linear programmingHealth Care Management Science2010131172610.1007/s10729-009-9105-z
PubMed Web of Science ®Google Scholar
JoustraPEde WitJVan DijkNBakkerPJMHow to juggle priorities? An interactive tool to provide quantitative support for strategic patient-mix decisions: an ophthalmology caseHealth Care Management Science201114434836010.1007/s10729-011-9168-5
PubMed Web of Science ®Google Scholar
JunJBJacobsonSHSwisherJRApplication of discrete-event simulation in health care clinics: a surveyJournal of the Operational Research Society199950210912310.1057/palgrave.jors.2600669
Web of Science ®Google Scholar
KaandorpGCKooleGOptimal outpatient appointment schedulingHealth Care Management Science200710321722910.1007/s10729-007-9015-x
PubMedGoogle Scholar
KaoEPCTungGGBed allocation in a public health care delivery systemManagement Science198127550752010.1287/mnsc.27.5.507
Web of Science ®Google Scholar
KapadiaASFasihullahYKCMFinite capacity priority queues with potential health applicationsComputers & Operations Research198512441142010.1016/0305-0548(85)90038-3
Web of Science ®Google Scholar
KatsaliakiKMustafeeNApplications of simulation within the healthcare contextJournal of the Operational Research Society20106281431145110.1057/jors.2010.20
PubMed Web of Science ®Google Scholar
KatzJHSimulation of outpatient appointment systemsCommunications of the ACM196912421522210.1145/362912.362930
Web of Science ®Google Scholar
KelloggDLWalczakSNurse scheduling: from academia to implementation or not?Interfaces200737435510.1287/inte.1070.0291
Web of Science ®Google Scholar
KimSCHorowitzIScheduling hospital services: the efficacy of elective-surgery quotasOmega200230533534610.1016/S0305-0483(02)00050-6
Web of Science ®Google Scholar
KimSCHorowitzIYoungKKBuckleyTAAnalysis of capacity management of the intensive care unit in a hospitalEuropean Journal of Operational Research19991151364610.1016/S0377-2217(98)00135-0
Web of Science ®Google Scholar
KimSCHorowitzIYoungKKBuckleyTAFlexible bed allocation and performance in the intensive care unitJournal of Operations Management200018442744310.1016/S0272-6963(00)00027-9
Web of Science ®Google Scholar
KoizumiNKunoESmithTEModeling patient flows using a queuing network with blockingHealth Care Management Science200581496010.1007/s10729-005-5216-3
PubMedGoogle Scholar
KokangulAA combination of deterministic and stochastic approaches to optimize bed capacity in a hospital unitComputer Methods and Programs in Biomedicine2008901566510.1016/j.cmpb.2008.01.001
PubMed Web of Science ®Google Scholar
KolesarPA Markovian model for hospital admission schedulingManagement Science197016638439610.1287/mnsc.16.6.B384
Web of Science ®Google Scholar
KolischRSickingerSProviding radiology health care services to stochastic demand ofdifferentcustomerclassesOR Spectrum200830237539510.1007/s00291-007-0116-1
Web of Science ®Google Scholar
KrosJDellanaSWestDOverbooking increases patient access at East Carolina University's student health services clinicInterfaces200939327128710.1287/inte.1090.0437
Web of Science ®Google Scholar
KuzdrallPJKwakNKSchmitzHHSimulating space requirements and scheduling policies in a hospital surgical suiteSimulation198136516317210.1177/003754978103600504
Google Scholar
KwakNKKuzdrallPJSchmitzHHSimulating the use of space in a hospital surgical suiteSimulation197525514715110.1177/003754977502500502
Google Scholar
KwakNKKuzdrallPJSchmitzHHThe GPSS simulation of scheduling policies for surgical patientsManagement Science197622998298910.1287/mnsc.22.9.982
Web of Science ®Google Scholar
LaGangaLRLawrenceSRClinic overbooking to improve patient access and increase provider productivityDecision Sciences200738225127610.1111/j.1540-5915.2007.00158.x
Web of Science ®Google Scholar
LagergrenMWhat is the role and contribution of models to management and research in the health services?A view from Europe. European Journal of Operational Research1998105225726610.1016/S0377-2217(97)00233-6
Web of Science ®Google Scholar
LahrichiNLapierreSDHertzATalibABouvierLAnalysis of a territorial approach to the delivery of nursing home care services based on historical dataJournal of Medical Systems200630428329110.1007/s10916-006-9015-2
PubMedGoogle Scholar
LamiriMGrimaudFXieXOptimization methods for a stochastic surgery planning problemInternational Journal of Production Economics2009120240041010.1016/j.ijpe.2008.11.021
Web of Science ®Google Scholar
LamiriMXieXDolguiAGrimaudFA stochastic model for operating room planning with elective and emergency demand for surgeryEuropean Journal of Operational Research200818531026103710.1016/j.ejor.2006.02.057
Web of Science ®Google Scholar
LamiriMXieXZhangSColumn generation approach to operating theater planning with elective and emergency patientsIIE Transactions200840983885210.1080/07408170802165831
Web of Science ®Google Scholar
LandauTPThiagarajanTRLedleyRSCost containment in the concentrated care center: a study of nursing, bed and patient assignment policiesComputers in Biology and Medicine198313320523810.1016/S0010-4825(83)80015-8
PubMed Web of Science ®Google Scholar
LaneDCHusemannESystem dynamics mapping of acute patient flowsJournal of the Operational Research Society200759221322410.1057/palgrave.jors.2602498
Web of Science ®Google Scholar
LaneDCMonefeldtCRosenheadJVLooking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency departmentJournal of the Operational Research Society200051551853110.1057/palgrave.jors.2600892
Web of Science ®Google Scholar
LangabeerJRHealth Care Operations Management: A Quantitative Approach to Business and Logistics2007
Google Scholar
LanzaroneEMattaAScaccabarozziGA patient stochastic model to support human resource planning in home careProduction Planning and Control201021132510.1080/09537280903232362
Web of Science ®Google Scholar
LarsonRCApproximating the performance of urban emergency service systemsOperations Research197523584586810.1287/opre.23.5.845
Web of Science ®Google Scholar
LattimerVBrailsfordSTurnbullJTarnarasPSmithHGeorgeSGerardKMaslin-ProtheroSReviewing emergency care systems I: insights from system dynamics modellingEmergency Medicine Journal200421668569110.1136/emj.2002.003673
PubMed Web of Science ®Google Scholar
LavieriMSPutermanMLOptimizing nursing human resource planning in British ColumbiaHealth Care Management Science200912211912810.1007/s10729-008-9097-0
PubMed Web of Science ®Google Scholar
LawAMSimulation Modeling and Analysis2006
Google Scholar
LeeDKKZeniosSAOptimal capacity overbooking for the regular treatment of chronic conditionsOperations Research200957485286510.1287/opre.1080.0666
Web of Science ®Google Scholar
LeeSThe role of preparedness in ambulance dispatchingJournal of the Operational Research Society201062101888189710.1057/jors.2010.145
Web of Science ®Google Scholar
LeffHSDadaMGravesSCAn LP planning model for a mental health community support systemManagement Science198632213915510.1287/mnsc.32.2.139
Web of Science ®Google Scholar
LehaneyBClarkeSAPaulRJA case of an intervention in an outpatients departmentJournal of the Operational Research Society199950987789110.1057/palgrave.jors.2600796
Web of Science ®Google Scholar
LiLXBentonWCPerformance measurement criteria in health care organizations: review and future research directionsEuropean Journal of Operational Research199693344946810.1016/0377-2217(95)00375-4
Web of Science ®Google Scholar
LiXBeullensPJonesDTamizMAn integrated queuing and multi-objective bed allocation model with application to a hospital in chinaJournal of the Operational Research Society200960333033810.1057/palgrave.jors.2602565
Web of Science ®Google Scholar
LiXZhaoZZhuXWyattTCovering models and optimization techniques for emergency response facility location and planning: a reviewMathematical Methods of Operations Research201174313010.1007/s00186-011-0363-4
Web of Science ®Google Scholar
LiaoCJPegdenCDRosenshineMPlanning timely arrivals to a stochastic production or service systemIIE Transactions1993255637310.1080/07408179308964316
Web of Science ®Google Scholar
LimCSMamatRBräunlTImpact of ambulance dispatch policies on performance of emergency medical servicesIntelligent Transportation Systems, IEEE Transactions on201112262463210.1109/TITS.2010.2101063
Web of Science ®Google Scholar
LittigSJIskenMWShort term hospital occupancy predictionHealth Care Management Science2007101476610.1007/s10729-006-9000-9
PubMedGoogle Scholar
LiuLLiuXBlock appointment systems for outpatient clinics with multiple doctorsJournal of the Operational Research Society199849121254125910.1057/palgrave.jors.2600631
Web of Science ®Google Scholar
LiuNZiyaSKulkarniVGDynamic scheduling of outpatient appointments under patient no-shows and cancellationsManufacturing & Service Operations Management201012234736410.1287/msom.1090.0272
Web of Science ®Google Scholar
LovejoyWSLiYHospital operating room capacity expansionManagement Science200248111369138710.1287/mnsc.48.11.1369.266
Web of Science ®Google Scholar
MackayMPractical experience with bed occupancy management and planning systems: an Australian viewHealth Care Management Science200141475610.1023/A:1009653716457
PubMedGoogle Scholar
MagerleinJMMartinJBSurgical demand scheduling: a reviewHealth Services Research1978134418433
PubMed Web of Science ®Google Scholar
MarconEDexterFImpact of surgical sequencing on post anesthesia care unit staffingHealth Care Management Science200691879810.1007/s10729-006-6282-x
PubMedGoogle Scholar
MarconEKharrajaSSimonnetGThe operating theatre planning by the follow-up of the risk of no realizationInternational Journal of Production Economics2003851839010.1016/S0925-5273(03)00088-4
Web of Science ®Google Scholar
MarianovVReVelleCThe queueing maximal availability location problem: a model for the sitting of emergency vehiclesEuropean Journal of Operational Research199693111012010.1016/0377-2217(95)00182-4
Web of Science ®Google Scholar
MarjamaaRATorkkiPMHirvensaloEJKirveläOAWhat is the best workflow for an operating room? A simulation study of five scenariosHealth Care Management Science200912214214610.1007/s10729-008-9073-8
PubMed Web of Science ®Google Scholar
MarquesICaptivoMEVaz PatoMAn integer programming approach to elective surgery schedulingOR Spectrum201134240742710.1007/s00291-011-0279-7
Web of Science ®Google Scholar
MarshallAHMcCleanSIUsing Coxian phase-type distributions to identify patient characteristics for duration of stay in hospitalHealth Care Management Science20047428528910.1007/s10729-004-7537-z
PubMedGoogle Scholar
MarshallAHMcCleanSIMillardPHAddressing bed costs for the elderly: a new methodology for modelling patient outcomes and length of stayHealth Care Management Science200471273310.1023/B:HCMS.0000005395.77308.d1
PubMedGoogle Scholar
MarshallAHMcCleanSIShapcottCMMillardPHModelling patient duration of stay to facilitate resource management of geriatric hospitalsHealth Care Management Science20025431331910.1023/A:1020394525938
PubMedGoogle Scholar
MarshallAHShawBMcCleanSIEstimating the costs for a group of geriatric patients using the Coxian phase-type distributionStatistics in Medicine200726132716272910.1002/sim.2728
PubMed Web of Science ®Google Scholar
MastersonBJMiharaTGMillerGRandolphSCForknerMECrouterALUsing models and data to support optimization of the military health system: a case study in an intensive care unitHealth Care Management Science20047321722410.1023/B:HCMS.0000039384.92373.c4
PubMedGoogle Scholar
MattaMEPattersonSSEvaluating multiple performance measures across several dimensions at a multi-facility outpatient centerHealth Care Management Science200710217319410.1007/s10729-007-9010-2
PubMedGoogle Scholar
MaullRSSmartPAHarrisAKarasnehAAFAn evaluation of ‘fast track’ in A&E: a discrete event simulation approachThe Service Industries Journal200929792394110.1080/02642060902749534
Web of Science ®Google Scholar
MaxwellMSRestrepoMHendersonSGTopalogluHApproximate dynamic programming for ambulance redeploymentINFORMS Journal on Computing201022226628110.1287/ijoc.1090.0345
Web of Science ®Google Scholar
MayJHSpanglerWEStrumDPVargasLGThe surgical scheduling problem: current research and future opportunitiesProduction and Operations Management201120339240510.1111/j.1937-5956.2011.01221.x
Web of Science ®Google Scholar
MayhewLSmithDUsing queuing theory to analyse the government's 4-h completion time target in accident and emergency departmentsHealth Care Management Science2008111112110.1007/s10729-007-9033-8
PubMed Web of Science ®Google Scholar
McClainJOA model for regional obstetric bed planningHealth Services Research1978134378394
PubMed Web of Science ®Google Scholar
McCleanSBartonMGargLFullertonKA modeling framework that combines Markov models and discrete-event simulation for stroke patient careACM Transactions on Modeling and Computer Simulation20112142510.1145/2000494.2000498
Web of Science ®Google Scholar
McCleanSMillardPPatterns of length of stay after admission in geriatric medicine: an event history approachThe Statistician199342326327410.2307/2348804
Google Scholar
McCleanSMillardPWhere to treat the older patient? Can Markov models help us better understand the relationship between hospital and community care?Journal of the Operational Research Society200758225526110.1057/palgrave.jors.2602173
Web of Science ®Google Scholar
McCleanSIMcAleaBMillardPHUsing a Markov reward model to estimate spend-down costs for a geriatric departmentJournal of the Operational Research Society199849101021102510.1057/palgrave.jors.2600619
Web of Science ®Google Scholar
McCleanSIMillardPHA three compartment model of the patient flows in a geriatric department: a decision support approachHealth Care Management Science19981215916310.1023/A:1019002804381
PubMedGoogle Scholar
McLaughlinDBHaysJMHealthcare Operations Management2008
Google Scholar
Medical Subject Headings (MeSH) (2010) Retrieved 10 May 2012, from: http://www.nlm.nih.gov/mesh/.
Google Scholar
MielczarekBUzialko-MydlikowskaJApplication of computer simulation modeling in the health care sector: a surveySimulation201288219721610.1177/0037549710387802
Google Scholar
MillardPHChristodoulouGJaggerCHarrisonGWMcCleanSIModelling hospital and social care bed occupancy and use by elderly people in an English health districtHealth Care Management Science200141576210.1023/A:1009605800527
PubMedGoogle Scholar
MinDYihYAn elective surgery scheduling problem considering patient priorityComputers & Operations Research20103761091109910.1016/j.cor.2009.09.016
Web of Science ®Google Scholar
MinDYihYScheduling elective surgery under uncertainty and downstream capacity constraintsEuropean Journal of Operational Research2010206364265210.1016/j.ejor.2010.03.014
Web of Science ®Google Scholar
MullinaxCLawleyMAssigning patients to nurses in neonatal intensive careJournal of the Operational Research Society2002531253510.1057/palgrave/jors/2601265
Web of Science ®Google Scholar
MustafeeNKatsaliakiKTaylorSJEProfiling literature in healthcare simulationSimulation2010868–954310.1177/0037549709359090
Google Scholar
MuthuramanKLawleyMA stochastic overbooking model for outpatient clinical scheduling with no-showsIIE Transactions200840982083710.1080/07408170802165823
Web of Science ®Google Scholar
NBII (2012) Website of the National Biological Information Infrastructure (NBII). Retrieved 10 May 2012, from: http://www.nbii.gov.
Google Scholar
NguyenJMSixPAntonioliDGlemainPPotelGLombrailPLe BeuxPA simple method to optimize hospital beds capacityInternational Journal of Medical Informatics2005741394910.1016/j.ijmedinf.2004.09.001
PubMed Web of Science ®Google Scholar
NguyenJMSixPChaussaletTAntonioliDLombrailPLe BeuxPAn objective method for bed capacity planning in a hospital department – a comparison with target ratio methodsMethods of Information in Medicine2007464399405
PubMed Web of Science ®Google Scholar
NguyenJMSixPParisotRAntonioliDNicolasFLombrailPA universal method for determining intensive care unit bed requirementsIntensive Care Medicine200329584985210.1007/s00134-003-1725-z
PubMed Web of Science ®Google Scholar
OddoyeJPJonesDFTamizMSchmidtPCombining simulation and goal programming for healthcare planning in a medical assessment unitEuropean Journal of Operational Research2009193125026110.1016/j.ejor.2007.10.029
Web of Science ®Google Scholar
OddoyeJPYaghoobiMATamizMJonesDFSchmidtPA multi-objective model to determine efficient resource levels in a medical assessment unitJournal of the Operational Research Society200658121563157310.1057/palgrave.jors.2602315
Web of Science ®Google Scholar
Organisation of Econonmic Co-operation and Development (OECD) (2011) Health at a Glance 2011: OECD Indicators. OECD Publishing, Retrieved 10 May 2012, from: http://dx.doi.org/10.1787/health_glance-2011-en.
Google Scholar
OECD Glossary (2012) http://stats.oecd.org/glossary/, accessed 10 May 2012.
Google Scholar
OhHCChowWLScientific evaluation of polyclinic operating strategies with discrete-event simulationInternational Journal of Simulation Modelling201110416517610.2507/IJSIMM10(4)1.178
Web of Science ®Google Scholar
OlivaresMTerwieschCCassorlaLStructural estimation of the newsvendor model: an application to reserving operating room timeManagement Science2008541415510.1287/mnsc.1070.0756
Web of Science ®Google Scholar
ORchestra (2012) Developed by Center for Healthcare Operations and Improvement Research (CHOIR) at the University of Twente. Retrieved 10 May 2012, from: http://www.utwente.nl/choir/en/orchestra/.
Google Scholar
Organisation of Economic Co-operation and Development (OECD) (2012) Data retrieved 10 May 2012, from: http://www.oecd.org/health.
Google Scholar
OzcanYAQuantitative Methods in Health Care Management: Techniques and Applications2009
Google Scholar
PapadimitriouCHSteiglitzKCombinatorial Optimization: Algorithms and Complexity1998
Google Scholar
PasinFJobinMHCordeauJFAn application of simulation to analyse resource sharing among health care organisationsInternational Journal of Operations and Production Management200222438139310.1108/01443570210420395
Web of Science ®Google Scholar
PatrickJAccess to long-term care: the true cause of hospital congestion?Production and Operations Management201120334735810.1111/j.1937-5956.2011.01229.x
Web of Science ®Google Scholar
PatrickJA Markov decision model for determining optimal outpatient schedulingHealth Care Management Science20121529110210.1007/s10729-011-9185-4
PubMed Web of Science ®Google Scholar
PatrickJPutermanMLQueyranneMDynamic multi-priority patient scheduling for a diagnostic resourceOperations Research20085661507152510.1287/opre.1080.0590
Web of Science ®Google Scholar
PaulSAReddyMCDeFlitchCJA systematic review of simulation studies investigating emergency department overcrowdingSimulation2010868–9559571
Google Scholar
PelletierCChaussaletTJXieHA framework for predicting gross institutional long-term care cost arising from known commitments at local authority levelJournal of the Operational Research Society200456214415210.1057/palgrave.jors.2601892
Web of Science ®Google Scholar
PérezENtaimoLBaileyCMcCormackPModeling and simulation of nuclear medicine patient service management in DEVSSimulation2010868–948150110.1177/0037549709358294
Google Scholar
PerssonMJPerssonJAAnalysing management policies for operating room planning using simulationHealth Care Management Science201013218219110.1007/s10729-009-9122-y
PubMed Web of Science ®Google Scholar
PetrovicDMorshedMPetrovicSMulti-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patientsExpert Systems with Applications20113866994700210.1016/j.eswa.2010.12.015
Web of Science ®Google Scholar
PhamDNKlinkertASurgical case scheduling as a generalized job shop scheduling problemEuropean Journal of Operational Research200818531011102510.1016/j.ejor.2006.03.059
Web of Science ®Google Scholar
Pierskalla WP and Brailer DJ (1994) Applications of operations research in health care delivery. Handbooks in OR & MS (Pollock, SM, Rothkopf, MH and Barnett A Eds) pp 469–505, Elsevier, Amsterdam, The Netherlands.
Google Scholar
PorterMECompetitive Advantage1985
Google Scholar
PriceCGoldenBHarringtonMKonewkoRWasilEHerringWReducing boarding in a post-anesthesia care unitProduction and Operations Management201120343144110.1111/j.1937-5956.2011.01225.x
Web of Science ®Google Scholar
PrzasnyskiZHOperating room scheduling: a literature reviewAssociation of PeriOperative Registered Nurses Journal1986441678210.1016/S0001-2092(07)65204-1
Google Scholar
PubMed (2012) Retrieved 10 May 2012, from: http://www.pubmed.gov/.
Google Scholar
PunnakitikashemPRosenbergerJMBuckley BehanDStochastic programming for nurse assignmentComputational Optimization and Applications200840332134910.1007/s10589-007-9084-2
Web of Science ®Google Scholar
QuXRardinRLWilliamsJASWillisDRMatching daily healthcare provider capacity to demand in advanced access scheduling systemsEuropean Journal of Operational Research2007183281282610.1016/j.ejor.2006.10.003
Web of Science ®Google Scholar
QuXShiJModeling the effect of patient choice on the performance of open access schedulingInternational Journal of Production Economics2011129231432710.1016/j.ijpe.2010.11.006
Web of Science ®Google Scholar
RaisAVianaAOperations research in healthcare: a surveyInternational Transactions in Operational Research201118113110.1111/j.1475-3995.2010.00767.x
Web of Science ®Google Scholar
ReillyTAMaratheVPFriesBEA delay-scheduling model for patients using a walk-in clinicJournal of Medical Systems19782430331310.1007/BF02221896
PubMedGoogle Scholar
RepedeJFBernardoJJDeveloping and validating a decision support system for locating emergency medical vehicles in Louisville, KentuckyEuropean Journal of Operational Research199475356758110.1016/0377-2217(94)90297-6
Web of Science ®Google Scholar
ReVelleCReview, extension and prediction in emergency service siting modelsEuropean Journal of Operational Research1989401586910.1016/0377-2217(89)90272-5
Web of Science ®Google Scholar
RidgeJCJonesSKNielsenMSShahaniAKCapacity planning for intensive care unitsEuropean Journal of Operational Research1998105234635510.1016/S0377-2217(97)00240-3
Web of Science ®Google Scholar
RiiseABurkeEKLocal search for the surgery admission planning problemJournal of Heuristics201117438941410.1007/s10732-010-9139-x
Web of Science ®Google Scholar
RisingEJBaronRAverillBA systems analysis of a university-health-service outpatient clinicOperations Research19732151030104710.1287/opre.21.5.1030
Web of Science ®Google Scholar
RobinsonLWChenRRScheduling doctors’ appointments: optimal and empirically-based heuristic policiesIIE Transactions200335329530710.1080/07408170304367
Web of Science ®Google Scholar
RobinsonLWChenRRA comparison of traditional and open-access policies for appointment schedulingManufacturing Service Operations Management201012233034610.1287/msom.1090.0270
Web of Science ®Google Scholar
RohlederTRBischakDPBaskinLBModeling patient service centers with simulation and system dynamicsHealth Care Management Science200710111210.1007/s10729-006-9001-8
PubMedGoogle Scholar
RohlederTRLewkoniaPBischakDPDuffyPHendijaniRUsing simulation modeling to improve patient flow at an outpatient orthopedic clinicHealth Care Management Science201114213514510.1007/s10729-010-9145-4
PubMed Web of Science ®Google Scholar
RolandBDi MartinellyCRianeFPochetYScheduling an operating theatre under human resource constraintsComputers & Industrial Engineering201058221222010.1016/j.cie.2009.01.005
Web of Science ®Google Scholar
RönnbergELarssonTAutomating the self-scheduling process of nurses in Swedish healthcare: a pilot studyHealth Care Management Science2010131355310.1007/s10729-009-9107-x
PubMed Web of Science ®Google Scholar
RossSMIntroduction to Probability Models2007
Google Scholar
RuthRJA mixed integer programming model for regional planning of a hospital inpatient serviceManagement Science19817552153310.1287/mnsc.27.5.521
Web of Science ®Google Scholar
SantibáñezPBegenMAtkinsDSurgical block scheduling in a system of hospitals: an application to resource and wait list management in a British Columbia health authorityHealth Care Management Science200710326928210.1007/s10729-007-9019-6
PubMedGoogle Scholar
SavasESSimulation and cost-effectiveness analysis of New York's emergency ambulance serviceManagement Science1969151260862710.1287/mnsc.15.12.B608
Web of Science ®Google Scholar
SchimmelpfengKHelberSKasperSDecision support for rehabilitation hospital schedulingOR Spectrum2010322129
Google Scholar
SchmidVSolving the dynamic ambulance relocation and dispatching problem using approximate dynamic programmingEuropean Journal of Operational Research2012219361162110.1016/j.ejor.2011.10.043
PubMed Web of Science ®Google Scholar
SchmitzHHKwakNKMonte Carlo simulation of operating-room and recovery-room usageOperations Research19722061171118010.1287/opre.20.6.1171
Web of Science ®Google Scholar
SchmitzHHKwakNKKuzdrallPJDetermination of surgical suite capacity and an evaluation of patient scheduling policiesRAIRO – Operations Research1978121314
Web of Science ®Google Scholar
SchrijverACombinatorial Optimization: Polyhedra and Efficiency2003
Google Scholar
Scopus (2012) Retrieved 10 May 2012, from: http://www.scopus.com/.
Google Scholar
SeymourDGHealth care modelling and clinical practice: theoretical exercise or practical tool?Health Care Management Science20014171210.1023/A:1009685212822
PubMedGoogle Scholar
ShahaniAKRidleySANielsenMSModelling patient flows as an aid to decision making for critical care capacities and organisationAnaesthesia200863101074108010.1111/j.1365-2044.2008.05577.x
PubMed Web of Science ®Google Scholar
ShawBMarshallAHModeling the health care costs of geriatric inpatientsInformation Technology in Biomedicine, IEEE Transactions on200610352653210.1109/TITB.2005.863821
PubMedGoogle Scholar
ShepperdSMcClaranJPhillipsCOLanninNAClemsonLMMcCluskeyACameronIDBarrasSLDischarge planning from hospital to homeCochrane Database of Systematic Reviews20101CD000313
Google Scholar
ShmueliASprungCLKaplanEHOptimizing admissions to an intensive care unitHealth Care Management Science20036313113610.1023/A:1024457800682
PubMedGoogle Scholar
ShonickWJacksonJRAn improved stochastic model for occupancy-related random variables in general-acute hospitalsOperations Research197321495296510.1287/opre.21.4.952
Web of Science ®Google Scholar
SierDTobinPMcGurkCScheduling surgical proceduresJournal of the Operational Research Society199748988489110.1057/palgrave.jors.2600441
Web of Science ®Google Scholar
SingerMDonosoPAssessing an ambulance service with queuing theoryComputers & Operations Research20083582549256010.1016/j.cor.2006.12.005
Web of Science ®Google Scholar
SinreichDJabaliOStaggered work shifts: a way to downsize and restructure an emergency department workforce yet maintain current operational performanceHealth Care Management Science200710329330810.1007/s10729-007-9021-z
PubMedGoogle Scholar
SinreichDJabaliODellaertNPReducing emergency department waiting times by adjusting work shifts considering patient visits to multiple care providersIIE Transactions201244316318010.1080/0740817X.2011.609875
Web of Science ®Google Scholar
SmithCEKleinbeckSVMFernengelKMayerLSEfficiency of families managing home health careAnnals of Operations Research199773115717510.1023/A:1018973010547
Web of Science ®Google Scholar
SmithKROverAMJr.HansenMFGolladayFLDavenportEJAnalytic framework and measurement strategy for investigating optimal staffing in medical practiceOperations Research197624581584110.1287/opre.24.5.815
Web of Science ®Google Scholar
Smith-DanielsVLSchweikhartSBSmith-DanielsDECapacity management in health care services: review and future research directionsDecision Sciences198819488991910.1111/j.1540-5915.1988.tb00310.x
Web of Science ®Google Scholar
SobolevBGSanchezVVasilakisCSystematic review of the use of computer simulation modeling of patient flow in surgical careJournal of Medical Systems201135111610.1007/s10916-009-9336-z
PubMed Web of Science ®Google Scholar
SonnenbergAHow to overbook procedures in the endoscopy unitGastrointestinal Endoscopy2009693-Part-271071510.1016/j.gie.2008.09.052
PubMed Web of Science ®Google Scholar
StaffordEFJr.AggarwalSCManagerial analysis and decision making in outpatient health clinicsJournal of the Operational Research Society1979301090591510.1057/jors.1979.211
PubMed Web of Science ®Google Scholar
SuMCLaiSCWangPCHsiehYZLinSCA SOMO-based approach to the operating room scheduling problemExpert Systems with Applications20113812154471545410.1016/j.eswa.2011.06.016
Web of Science ®Google Scholar
SundaramoorthiDChenVCPRosenbergerJMKimSBBuckley-BehanDFA data-integrated simulation model to evaluate nurse–patient assignmentsHealth Care Management Science200912325226810.1007/s10729-008-9090-7
PubMed Web of Science ®Google Scholar
SwisherJRJacobsonSHEvaluating the design of a family practice healthcare clinic using discrete-event simulationHealth Care Management Science200252758810.1023/A:1014464529565
PubMedGoogle Scholar
SwisherJRJacobsonSHJunJBBalciOModeling and analyzing a physician clinic environment using discrete-event (visual) simulationComputers and Operations Research200128210512510.1016/S0305-0548(99)00093-3
Web of Science ®Google Scholar
SwovelandCUyenoDVertinskyIVicksonRAmbulance location: a probabilistic enumeration approachManagement Science197320468669810.1287/mnsc.20.4.686
Web of Science ®Google Scholar
TahaHAOperations Research: An Introduction2010
Google Scholar
TànfaniETestiAA pre-assignment heuristic algorithm for the master surgical schedule problem (MSSP)Annals of Operations Research2010178110511910.1007/s10479-009-0568-6
Web of Science ®Google Scholar
TarakciHOzdemirZSharafaliMOn the staffing policy and technology investment in a specialty hospital offering telemedicineDecision Support Systems200946246848010.1016/j.dss.2008.08.001
Web of Science ®Google Scholar
TaylorGJMcCleanSIMillardPHGeriatric-patient flow-rate modellingMathematical Medicine and Biology199613429710.1093/imammb/13.4.297
Web of Science ®Google Scholar
TaylorGJMcCleanSIMillardPHContinuous-time Markov models for geriatric patient behaviourApplied Stochastic Models Anddata Analysis1997133–431532310.1002/(SICI)1099-0747(199709/12)13:3/4<315::AID-ASM325>3.0.CO;2-9
Web of Science ®Google Scholar
TaylorGJMcCleanSIMillardPHUsing a continuous-time Markov model with poisson arrivals to describe the movements of geriatric patientsApplied Stochastic Models and Data Analysis199814216517410.1002/(SICI)1099-0747(199806)14:2<165::AID-ASM344>3.0.CO;2-#
Google Scholar
TaylorGJMcCleanSIMillardPHStochastic models of geriatric patient bed occupancy behaviourJournal of the Royal Statistical Society: Series A (Statistics in Society)20001631394810.1111/1467-985X.00155
Web of Science ®Google Scholar
TaylorIDSTempletonJGCWaiting time in a multi-server cutoff-priority queue, and its application to an urban ambulance serviceOperations Research19802851168118810.1287/opre.28.5.1168
PubMed Web of Science ®Google Scholar
TestiATànfaniETactical and operational decisions for operating room planning: efficiency and welfare implicationsHealth Care Management Science200912436337310.1007/s10729-008-9093-4
PubMed Web of Science ®Google Scholar
TestiATànfaniETorreGA three-phase approach for operating theatre schedulesHealth Care Management Science200710216317210.1007/s10729-007-9011-1
PubMedGoogle Scholar
ThomasSJCapacity and demand models for radiotherapy treatment machinesClinical Oncology200315635335810.1016/S0936-6555(03)00065-7
Web of Science ®Google Scholar
ThompsonSNunezMGarfinkelRDeanMDEfficient short-term allocation and reallocation of patients to floors of a hospital during demand surgesOperations Research200957226127310.1287/opre.1080.0584
Web of Science ®Google Scholar
TijmsHCA First Course in Stochastic Models2003
Google Scholar
ToregasCSwainRReVelleCBergmanLThe location of emergency service facilitiesOperations Research19711961363137310.1287/opre.19.6.1363
Web of Science ®Google Scholar
TothPVigoDThe Vehicle Routing Problem2001
Google Scholar
TrautsamwieserAGronaltMHirschPSecuring home health care in times of natural disastersOR Spectrum201133312710.1007/s00291-011-0253-4
Web of Science ®Google Scholar
TroyPMRosenbergLUsing simulation to determine the need for ICU beds for surgery patientsSurgery2009146460862010.1016/j.surg.2009.05.021
PubMed Web of Science ®Google Scholar
TunnicliffeWJCA review of operational problems tackled by computer simulation in health care facilitiesHealth and Social Service Journal19809047027380
PubMedGoogle Scholar
UtleyMGallivanSDavisKDanielPReevesPWorrallJEstimating bed requirements for an intermediate care facilityEuropean Journal of Operational Research200315019210010.1016/S0377-2217(02)00788-9
Web of Science ®Google Scholar
UtleyMGallivanSTreasureTValenciaOAnalytical methods for calculating the capacity required to operate an effective booked admissions policy for elective inpatient servicesHealth Care Management Science2003629710410.1023/A:1023333002675
PubMedGoogle Scholar
UtleyMJitMGallivanSRestructuring routine elective services to reduce overall capacity requirements within a local health economyHealth Care Management Science200811324024710.1007/s10729-007-9052-5
PubMed Web of Science ®Google Scholar
ValouxisCHousosEHybrid optimization techniques for the workshift and rest assignment of nursing personnelArtificial Intelligence in Medicine200020215517510.1016/S0933-3657(00)00062-2
PubMed Web of Science ®Google Scholar
Van DijkNMKortbeekNErlang loss bounds for OT-ICU systemsQueueing Systems200963125328010.1007/s11134-009-9149-2
Web of Science ®Google Scholar
Van GamerenEWoittiezITransitions between care provisions demanded by Dutch elderlyHealth Care Management Science20058429931310.1007/s10729-005-4140-x
PubMedGoogle Scholar
Van HoudenhovenMvan OostrumJMHansEWWullinkGKazemierGImproving operating room efficiency by applying bin-packing and portfolio techniques to surgical case schedulingAnesthesia & Analgesia2007105370771410.1213/01.ane.0000277492.90805.0f
PubMed Web of Science ®Google Scholar
Van HoudenhovenMvan OostrumJMWullinkGHansEHurinkJLBakkerJKazemierGFewer intensive care unit refusals and a higher capacity utilization by using a cyclic surgical case scheduleJournal of Critical Care200823222222610.1016/j.jcrc.2007.07.002
PubMed Web of Science ®Google Scholar
van OostrumJMVan HoudenhovenMHurinkJLHansEWWullinkGKazemierGA master surgical scheduling approach for cyclic scheduling in operating room departmentsOR Spectrum200830235537410.1007/s00291-006-0068-x
Web of Science ®Google Scholar
VanberkelPTBlakeJTA comprehensive simulation for wait time reduction and capacity planning applied in general surgeryHealth Care Management Science200710437338510.1007/s10729-007-9035-6
PubMedGoogle Scholar
VanberkelPTBoucherieRJHansEWHurinkJLLitvakNA survey of health care models that encompass multiple departmentsInternational Journal of Health Management and Information2010113769
Google Scholar
VanberkelPTBoucherieRJHansEWHurinkJLvan LentWAMvan HartenWHAccounting for inpatient wards when developing master surgical schedulesAnesthesia & Analgesia201111261472147910.1213/ANE.0b013e3182159c2f
PubMed Web of Science ®Google Scholar
VanberkelPTBoucherieRJHansEWHurinkJLvan LentWAMvan HartenWHAn exact approach for relating recovering surgical patient workload to the master surgical scheduleJournal of the Operational Research Society201162101851186010.1057/jors.2010.141
Web of Science ®Google Scholar
VanderbySCarterMWAn evaluation of the applicability of system dynamics to patient flow modellingJournal of the Operational Research Society200961111572158110.1057/jors.2009.150
Web of Science ®Google Scholar
VasilakisCEl-DarziEA simulation study of the winter bed crisisHealth Care Management Science200141313610.1023/A:1009649615548
PubMedGoogle Scholar
VasilakisCSobolevBGKuramotoLLevyARA simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled listsJournal of the Operational Research Society200758220221110.1057/palgrave.jors.2602235
Web of Science ®Google Scholar
VassilacopoulosGA simulation model for bed allocation to hospital inpatient departmentsSimulation198545523324110.1177/003754978504500502
Google Scholar
VermeulenIBBohteSMElkhuizenSGLamerisHBakkerPJMPoutréHLAdaptive resource allocation for efficient patient schedulingArtificial Intelligence in Medicine2009461678010.1016/j.artmed.2008.07.019
PubMed Web of Science ®Google Scholar
VillaSBarbieriMLegaFRestructuring patient flow logistics around patient care needs: implications and practicalities from three critical casesHealth Care Management Science200912215516510.1007/s10729-008-9091-6
PubMed Web of Science ®Google Scholar
VissersJMHPatient flow-based allocation of inpatient resources: a case studyEuropean Journal of Operational Research1998105235637010.1016/S0377-2217(97)00242-7
Web of Science ®Google Scholar
VissersJMHAdanIJBFDellaertNPDeveloping a platform for comparison of hospital admission systems: an illustrationEuropean Journal of Operational Research200718031290130110.1016/j.ejor.2006.04.034
Web of Science ®Google Scholar
VissersJMHBeechRHealth Operations Management: Patient Flow Logistics in Health Care2005
Google Scholar
VissersJMHWijngaardJThe outpatient appointment system: design of a simulation studyEuropean Journal of Operational Research19793645946310.1016/0377-2217(79)90245-5
Web of Science ®Google Scholar
Von KorffMA statistical model of the duration of mental hospitalization: the mixed exponential distributionJournal of Mathematical Sociology19796216917510.1080/0022250X.1979.9989887
Web of Science ®Google Scholar
WachtelREDexterFTactical increases in operating room block time for capacity planning should not be based on utilizationAnesthesia & Analgesia2008106121510.1213/01.ane.0000289641.92927.b9
PubMed Web of Science ®Google Scholar
WaltsLMKapadiaASPatient classification system: an optimization approachHealth Care Management Review19962147510.1097/00004010-199623000-00009
PubMed Web of Science ®Google Scholar
WangJQuanSLiJHollisAModeling and analysis of work flow and staffing level in a computed tomography division of University of Wisconsin Medical FoundationHealth Care Management Science201215210812010.1007/s10729-011-9188-1
PubMed Web of Science ®Google Scholar
WangWYGuptaDAdaptive appointment systems with patient preferencesManufacturing and Service Operations Management201113337338910.1287/msom.1110.0332
Web of Science ®Google Scholar
Web of Science (WoS) (2012) Retrieved 10 May 2012, from: http://www.isiknowledge.com/.
Google Scholar
WeissENModels for determining estimated start times and case orderings in hospital operating roomsIIE transactions199022214315010.1080/07408179008964166
Web of Science ®Google Scholar
WeissENMcClainJOAdministrative days in acute care facilities: a queueing-analytic approachOperations Research1987351354410.1287/opre.35.1.35
PubMed Web of Science ®Google Scholar
WelchJDBaileyNTJAppointment systems in hospital outpatient departmentsThe Lancet195225967181105110810.1016/S0140-6736(52)90763-0
Google Scholar
WerkerGSauréAFrenchJShechterSThe use of discrete-event simulation modelling to improve radiation therapy planning processesRadiotherapy and Oncology2009921768210.1016/j.radonc.2009.03.012
PubMed Web of Science ®Google Scholar
WhartonFOn the risk of premature transfer from coronary care unitsOmega199624441342310.1016/0305-0483(96)00014-X
Web of Science ®Google Scholar
WhiteMJBPikeMCAppointment systems in out-patients’ clinics and the effect of patients’ unpunctualityMedical Care19642313314510.1097/00005650-196407000-00002
Web of Science ®Google Scholar
WilliamsSVHow many intensive care beds are enough?Critical Care Medicine198311641241610.1097/00003246-198306000-00002
PubMed Web of Science ®Google Scholar
WinstonWLOperations Research: Applications and Algorithms2003
Google Scholar
WolffRWStochastic Modeling and the Theory of Queues1989
Google Scholar
WorthingtonDJQueueing models for hospital waiting listsJournal of the Operational Research Society198738541342210.1057/jors.1987.69
PubMed Web of Science ®Google Scholar
WorthingtonDJHospital waiting list management modelsJournal of the Operational Research Society19914210833843
Web of Science ®Google Scholar
WrightMBThe application of a surgical bed simulation modelEuropean Journal of Operational Research1987321263210.1016/0377-2217(87)90268-2
Web of Science ®Google Scholar
WrightPDBretthauerKMCôtéMJReexamining the nurse scheduling problem: staffing ratios and nursing shortagesDecision Sciences2006371397010.1111/j.1540-5414.2006.00109.x
Web of Science ®Google Scholar
WuCHHwangKPUsing a discrete-event simulation to balance ambulance availability and demand in static deployment systemsAcademic Emergency Medicine200916121359136610.1111/j.1553-2712.2009.00583.x
PubMed Web of Science ®Google Scholar
XieHChaussaletTJMillardPHA continuous time Markov model for the length of stay of elderly people in institutional long-term careJournal of the Royal Statistical Society: Series A (Statistics in Society20051681516110.1111/j.1467-985X.2004.00335.x
Web of Science ®Google Scholar
XieHChaussaletTJMillardPHA model-based approach to the analysis of patterns of length of stay in institutional long-term careInformation Technology in Biomedicine, IEEETransactions on200610351251810.1109/TITB.2005.863820
PubMed Web of Science ®Google Scholar
XieHChaussaletTJThompsonWAMillardPHA simple graphical decision aid for the placement of elderly people in long-term careJournal of the Operational Research Society200658444645310.1057/palgrave.jors.2602179
Web of Science ®Google Scholar
ZeltynSMarmorYNMandelbaumACarmeliBGreenshpanOMesikaYWasserkrugSVortmanPShtubALautermanTSchwartzDMoskovitchKTzafrirSBasisFSimulation-based models of emergency departments: operational, tactical, and strategic staffingACM Transactions on Modeling and Computer Simulation20112142410.1145/2000494.2000497
Web of Science ®Google Scholar
ZhangBMuraliPDessoukyMMBelsonDA mixed integer programming approach for allocating operating room capacityJournal of the Operational Research Society200960566367310.1057/palgrave.jors.2602596
Web of Science ®Google Scholar
ZijmWHMTowards intelligent manufacturing planning and control systemsOR Spectrum200022331334510.1007/s002919900032
Google Scholar
ZonderlandMEBoerFBoucherieRJde RoodeAvan KleefJWRedesign of a university hospital Preanes-Thesia evaluation clinic using a queuing theory approachAnesthesia & Analgesia200910951612161410.1213/ANE.0b013e3181b921e7
PubMed Web of Science ®Google Scholar
ZonderlandMEBoucherieRJLitvakNVleggert-LankampCLAMPlanning and scheduling of semi-urgent surgeriesHealth Care Management Science201013325626710.1007/s10729-010-9127-6
PubMed Web of Science ®Google Scholar

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Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

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Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

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