Cited by 243Healthcare Operations and Scheduling OptimizationEmergency and Acute Care StudiesHealthcare Quality and Management

The DOI matches its Crossref record.

Patient Flow: Reducing Delay in Healthcare Delivery

Randolph W. Hall·2006·International Series in Operations Research & Management Science

DOI 10.1007/978-0-387-33636-7

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-0-387-33636-7

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Still being checked.

Sorted by citations

Personnel scheduling: A literature review
den Bergh, J. V., Beliën, J., Bruecker, P. D., Demeulemeester, E. L., & Boeck, L. D. (2012) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.11.029 · Cited by 813
Outpatient appointment systems in healthcare: A review of optimization studies
Javid, A. A., Jalali, Z., & Klassen, K. J. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.06.064 · Cited by 436
Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS
Hulshof, P. J. H., Kortbeek, N., Boucherie, R. J., Hans, E. W., & Bakker, P. J. M. (2012) · Health Systems · doi:10.1057/hs.2012.18 · Cited by 432
Operations Research in Healthcare: a survey
Rais, A., & Viana, A. (2010) · International Transactions in Operational Research · doi:10.1111/j.1475-3995.2010.00767.x · Cited by 394
On Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective
Armony, M., Israelit, S. H., Mandelbaum, A., Marmor, Y. N., Tseytlin, Y., & Yom‐Tov, G. B. (2015) · Stochastic Systems · doi:10.1214/14-ssy153 · Cited by 283
Patient satisfaction with the healthcare system: Assessing the impact of socio-economic and healthcare provision factors
Xesfingi, S., & Vozikis, A. (2016) · BMC Health Services Research · doi:10.1186/s12913-016-1327-4 · Cited by 310
SimLean: Utilising simulation in the implementation of lean in healthcare
Robinson, S., Radnor, Z., Burgess, N. J., & Worthington, C. (2012) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.12.029 · Cited by 264
An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit
Diwas Singh, K. C., & Terwiesch, C. (2011) · Manufacturing & Service Operations Management · doi:10.1287/msom.1110.0341 · Cited by 250
Patient flow modelling and performance analysis of healthcare delivery processes in hospitals: A review and reflections
Bhattacharjee, P., & Ray, P. K. (2014) · Computers & Industrial Engineering · doi:10.1016/j.cie.2014.04.016 · Cited by 223
Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation
Santibáñez, P., Chow, V. S., French, J., Puterman, M. L., & Tyldesley, S. K. (2009) · Health Care Management Science · doi:10.1007/s10729-009-9103-1 · Cited by 181
Reducing wait time from referral to first visit for community outpatient services may contribute to better health outcomes: a systematic review
Lewis, A. K., Harding, K. E., Snowdon, D. A., & Taylor, N. F. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3669-6 · Cited by 178
A survey of health care models that encompass multiple departments
Vanberkel, P. T., Boucherie, R. J., Hans, E. W., Hurink, J. L., & Litvak, N. (2009) · University of Twente Research Information · Cited by 162
Literature review on multi-appointment scheduling problems in hospitals
Marynissen, J., & Demeulemeester, E. L. (2018) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.03.001 · Cited by 145
Adaptive Appointment Systems with Patient Preferences
Wang, W., & Gupta, D. (2011) · Manufacturing & Service Operations Management · doi:10.1287/msom.1110.0332 · Cited by 133
Identifying Good Nursing Levels: A Queuing Approach
Yankovic, N., & Green, L. V. (2011) · Operations Research · doi:10.1287/opre.1110.0943 · Cited by 127
Modeling and Analysis of the Emergency Department at University of Kentucky Chandler Hospital Using Simulations
Brenner, S., Zeng, Z., Liu, Y., Wang, J., Li, J., & Howard, P. K. (2009) · Journal of Emergency Nursing · doi:10.1016/j.jen.2009.07.018 · Cited by 126
Chemotherapy operations planning and scheduling
Türkcan, A., Zeng, B., & Lawley, M. (2012) · IIE Transactions on Healthcare Systems Engineering · doi:10.1080/19488300.2012.665155 · Cited by 124
A Simulation Study to Improve Quality of Care in the Emergency Department of a Community Hospital
Zeng, Z., Ma, X., Hu, Y., Li, J., & Bryant, D. (2011) · Journal of Emergency Nursing · doi:10.1016/j.jen.2011.03.005 · Cited by 107
Staggered work shifts: a way to downsize and restructure an emergency department workforce yet maintain current operational performance
Sinreich, D., & Jabali, O. (2007) · Health Care Management Science · doi:10.1007/s10729-007-9021-z · Cited by 102
Simulation-based models of emergency departments:
Zeltyn, S., Marmor, Y. N., Mandelbaum, A., Carmeli, B., Greenshpan, O., Mesika, Y., Wasserkrug, S., Vortman, P., Shtub, A., Lauterman, T., et al. (2011) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/2000494.2000497 · Cited by 96
Challenges to inter-departmental coordination of patient transfers: A workflow perspective
Abraham, J., & Reddy, M. C. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.11.001 · Cited by 91
BPMN in healthcare: Challenges and best practices
Pufahl, L., Zerbato, F., Weber, B., & Weber, I. M. (2022) · Information Systems · doi:10.1016/j.is.2022.102013 · Cited by 88
Scheduling the hospital-wide flow of elective patients
Gärtner, D., & Kolisch, R. (2013) · European Journal of Operational Research · doi:10.1016/j.ejor.2013.08.026 · Cited by 84
Long term evaluation of operating theater planning policies
Agnetis, A., Coppi, A., Corsini, M., Dellino, G., Meloni, C., & Pranzo, M. (2012) · Operations Research for Health Care · doi:10.1016/j.orhc.2012.10.001 · Cited by 77
Process improvement in healthcare: overall resource efficiency
de Mast, J., Kemper, B. P. H., Does, R. J. M. M., Mandjes, M., & van der Bijl, Y. (2011) · Quality and Reliability Engineering International · doi:10.1002/qre.1198 · Cited by 75
The use of discrete-event simulation modelling to improve radiation therapy planning processes
Werker, G. R., Sauré, A., French, J., & Shechter, S. M. (2009) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2009.03.012 · Cited by 73
A data-driven model of an emergency department
Whitt, W., & Zhang, X. (2016) · Operations Research for Health Care · doi:10.1016/j.orhc.2016.11.001 · Cited by 72
Evaluating multiple performance measures across several dimensions at a multi-facility outpatient center
Matta, M. E., & Patterson, S. S. (2007) · Health Care Management Science · doi:10.1007/s10729-007-9010-2 · Cited by 71
Tactical resource allocation and elective patient admission planning in care processes
Hulshof, P. J. H., Boucherie, R. J., Hans, E. W., & Hurink, J. L. (2013) · Health Care Management Science · doi:10.1007/s10729-012-9219-6 · Cited by 70
Outpatient appointment scheduling in presence of seasonal walk-ins
Çayırlı, T., & Güneş, E. D. (2013) · Journal of the Operational Research Society · doi:10.1057/jors.2013.56 · Cited by 70
Blocking in Healthcare Operations: A New Heuristic and an Application
Bretthauer, K. M., Heese, H. S., Pun, H., & Coe, E. (2011) · Production and Operations Management · doi:10.1111/j.1937-5956.2011.01230.x · Cited by 70
Enhancing outpatient clinics management software by reducing patients’ waiting time
Almomani, I., & AlSarheed, A. (2016) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2016.09.005 · Cited by 67
Reducing Patient Waiting Times for Radiation Therapy and Improving the Treatment Planning Process: a Discrete-event Simulation Model (Radiation Treatment Planning)
Babashov, V., Aivas, I., Begen, M. A., Cao, J. Q., Rodrigues, G., D'Souza, D. P., Lock, M. I., & Zaric, G. S. (2017) · Clinical Oncology · doi:10.1016/j.clon.2017.01.039 · Cited by 65
Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies
Xia, H., Barnes, S., & Golden, B. (2017) · International Transactions in Operational Research · doi:10.1111/itor.12400 · Cited by 65
A new dynamic integrated framework for surgical patients' prioritization considering risks and uncertainties
Rahimi, S. A., Jamshidi, A., Ruiz, A. B., & Aı̈t-Kadi, D. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.06.003 · Cited by 62
Machine learning in patient flow: a review
El-Bouri, R., Taylor, T., Youssef, A., Zhu, T., & Clifton, D. A. (2021) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/abddc5 · Cited by 60
Locating specialized service capacity in a multi-hospital network
Mahar, S., Bretthauer, K. M., & Salzarulo, P. A. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.03.008 · Cited by 51
Using the Statecharts paradigm for simulation of patient flow in surgical care
Sobolev, B. G., Harel, D., Vasilakis, C., & Levy, A. R. (2007) · Health Care Management Science · doi:10.1007/s10729-007-9026-7 · Cited by 49
Decision support for rehabilitation hospital scheduling
Schimmelpfeng, K., Helber, S., & Kasper, S. (2011) · OR Spectrum · doi:10.1007/s00291-011-0273-0 · Cited by 49
4PL routing optimization under emergency conditions
Huang, M., Ren, L., Lee, L. H., & Wang, X. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.06.023 · Cited by 52
Metaheuristic algorithms for solving two interconnected vehicle routing problems in a hospital complex
Kergosien, Y., Lenté, C., Billaut, J., & Perrin, S. (2013) · Computers & Operations Research · doi:10.1016/j.cor.2013.01.009 · Cited by 47
The Impact of Crowding on Time until Abdominal CT Interpretation in Emergency Department Patients with Acute Abdominal Pain
Mills, A. M., Baumann, B. M., Chen, E. H., Zhang, K., Glaspey, L. J., Hollander, J. E., & Pines, J. M. (2010) · Postgraduate Medicine · doi:10.3810/pgm.2010.01.2101 · Cited by 46
Operating Theatre Planning and Scheduling
Hans, E. W., & Vanberkel, P. T. (2011) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4614-1734-7_5 · Cited by 46
A Data-Driven Model of an Appointment-Generated Arrival Process at an Outpatient Clinic
Kim, S., Whitt, W., & Cha, W. C. (2018) · INFORMS journal on computing · doi:10.1287/ijoc.2017.0773 · Cited by 43
Sequential clinical scheduling with service criteria
Türkcan, A., Zeng, B., Muthuraman, K., & Lawley, M. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.05.023 · Cited by 43
Simulation-based optimization to improve hospital patient assignment to physicians and clinical units
Hui, Z., Best, T. J., Chivu, A. M., & Meltzer, D. (2019) · Health Care Management Science · doi:10.1007/s10729-019-09483-3 · Cited by 42
A multiobjective stochastic program for hospital bed planning
Abdelaziz, F. B., & Masmoudi, M. (2011) · Journal of the Operational Research Society · doi:10.1057/jors.2011.39 · Cited by 41
Benefits of Surgical Smoothing and Spare Capacity: An Econometric Analysis of Patient Flow
Diwas Singh, K. C., & Terwiesch, C. (2017) · Production and Operations Management · doi:10.1111/poms.12714 · Cited by 41
The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions
Azcárate, C., Esparza, L., & Mallor, F. (2019) · Omega · doi:10.1016/j.omega.2019.102120 · Cited by 40
Modeling and analysis of work flow and staffing level in a computed tomography division of University of Wisconsin Medical Foundation
Wang, J., Quan, S., Li, J., & Hollis, A. M. (2011) · Health Care Management Science · doi:10.1007/s10729-011-9188-1 · Cited by 40
Patient admission planning using Approximate Dynamic Programming
Hulshof, P. J. H., Mes, M., Boucherie, R. J., & Hans, E. W. (2015) · Flexible Services and Manufacturing Journal · doi:10.1007/s10696-015-9219-1 · Cited by 39
Patient prioritization tools and their effectiveness in non-emergency healthcare services: a systematic review protocol
Déry, J., Ruiz, A. B., Routhier, F., Gagnon, M., Côté, A., Aı̈t-Kadi, D., Bélanger, V., Deslauriers, S., & Lamontagne, M. (2019) · Systematic Reviews · doi:10.1186/s13643-019-0992-x · Cited by 41
Scheduling tasks with precedence constraints on multiple servers
Pedarsani, R., Walrand, J. C., & Zhong, Y. (2014) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2014.7028591 · Cited by 37
Demand and capacity modelling for acute services using discrete event simulation
Demir, E., Günal, M. M., & Southern, D. (2016) · Health Systems · doi:10.1057/hs.2016.1 · Cited by 37
A Decision Support System for Capacity Planning in Emergency Departments
Carmen, R., Defraeye, M., & Nieuwenhuyse, I. V. (2015) · International Journal of Simulation Modelling · doi:10.2507/ijsimm14(2)10.308 · Cited by 37
Improving patient flow at a family health clinic
Bard, J. F., Shu, Z., Morrice, D. J., Wang, D., Poursani, R. S., & Leykum, L. K. (2014) · Health Care Management Science · doi:10.1007/s10729-014-9294-y · Cited by 36
Determining Nurse Aide Staffing Requirements to Provide Care Based on Resident Workload: A Discrete Event Simulation Model
Schnelle, J. F., Schroyer, L. D., Saraf, A. A., & Simmons, S. F. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.08.006 · Cited by 36
A system model of work flow in the patient room of hospital emergency department
Wang, J., Li, J., & Howard, P. K. (2013) · Health Care Management Science · doi:10.1007/s10729-013-9235-1 · Cited by 35
Application of Queueing Theory to the Analysis of Changes in Outpatients' Waiting Times in Hospitals Introducing EMR
Cho, K., Kim, S. M., Chae, Y. M., & Song, Y. U. (2017) · Healthcare Informatics Research · doi:10.4258/hir.2017.23.1.35 · Cited by 35
Developing nonlinear queuing regressions to increase emergency department patient safety: Approximating reneging with balking
Cochran, J. K., & Broyles, J. R. (2010) · Computers & Industrial Engineering · doi:10.1016/j.cie.2010.05.010 · Cited by 32
Defining Barriers to Discharge From Inpatient Rehabilitation, Classifying Their Causes, and Proposed Performance Indicators for Rehabilitation Patient Flow
New, P. W., Cameron, P. A., Olver, J., & Stoelwinder, J. U. (2012) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2012.07.026 · Cited by 33
Using Robust Queueing to Expose the Impact of Dependence in Single-Server Queues
Whitt, W., & You, W. (2017) · Operations Research · doi:10.1287/opre.2017.1649 · Cited by 31
How the design and implementation of centralized waiting lists influence their use and effect on access to healthcare - A realist review
Breton, M., Smithman, M. A., Sasseville, M., Kreindler, S. A., Sutherland, J. M., Beauséjour, M., Green, M., Marshall, E. G., Jbilou, J., Shaw, J., et al. (2020) · Health Policy · doi:10.1016/j.healthpol.2020.05.023 · Cited by 30
From production systems to health care delivery systems: a retrospective look on similarities, difficulties and opportunities
Zhong, X., Lee, H. K., & Li, J. (2017) · International Journal of Production Research · doi:10.1080/00207543.2016.1277276 · Cited by 29
Assessing the impact of stochasticity for operating theater sizing
Tancrez, J., Roland, B., Cordier, J.-P., & Riane, F. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.021 · Cited by 28
A mean-shift algorithm for large-scale planar maximal covering location problems
He, Z., Fan, B., Cheng, T. C. E., Wang, S., & Tan, C.-H. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.09.006 · Cited by 27
Fragmentation of Patient Safety Research: A Critical Reflection of Current Human Factors Approaches to Patient Handover
Manser, T. (2013) · Journal of Public Health Research · doi:10.4081/jphr.2013.e33 · Cited by 26
Improving Societal Outcomes in the Organ Donation Value Chain
Arora, P., & Subramanian, R. (2019) · Production and Operations Management · doi:10.1111/poms.13025 · Cited by 27
Toward simulation-based real-time decision-support systems for emergency departments
Marmor, Y. N., Wasserkrug, S., Zeltyn, S., Mesika, Y., Greenshpan, O., Carmeli, B., Shtub, A., & Mandelbaum, A. (2009) · Winter Simulation Conference · doi:10.1109/wsc.2009.5429416 · Cited by 27
Assessing the impact of patient prioritization on operating room schedules
de Oliveira, M. D., Bélanger, V., Marqués, I., & Ruiz, A. B. (2019) · Operations Research for Health Care · doi:10.1016/j.orhc.2019.100232 · Cited by 25
Improving patient flow through axiomatic design of hospital emergency departments
Peck, J. S., & Kim, S. (2010) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2010.04.003 · Cited by 24
The Collaborative work of Hospital Porters
Bossen, C., & Foss, M. I. (2016) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2818048.2820002 · Cited by 24
A Simulation-Optimisation approach for hospital beds allocation
Oliveira, B. S., de Vasconcelos, J. A., Almeida, J. F. D. F., & Pinto, L. R. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104174 · Cited by 23
Early Index for Detection of Pediatric Emergency Department Crowding
Bouleux, G., Marcon, É., & Mory, O. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2350996 · Cited by 23
A Dynamic System Model for Personalized Healthcare Delivery and Managed Individual Health Outcomes
Khayal, I. S., & Farid, A. M. (2021) · IEEE Access · doi:10.1109/access.2021.3118010 · Cited by 4
Systems modelling to support the complex nature of healthcare services
Engelseth, P., White, B. E., Mundal, I. P., Eines, T. F., & Kritchanchai, D. (2020) · Health and Technology · doi:10.1007/s12553-020-00504-8 · Cited by 21
A simulation–optimization approach for measuring emergency department resilience in times of crisis
Farahi, S., & Salimifard, K. (2021) · Operations Research for Health Care · doi:10.1016/j.orhc.2021.100326 · Cited by 20
Patient logistics management of patient flows in hospitals: A comparison of Bavarian and Austrian hospitals
Kriegel, J., Jehle, F., Moser, H., & Tuttle-Weidinger, L. (2016) · International Journal of Healthcare Management · doi:10.1080/20479700.2015.1119370 · Cited by 20
Teleradiology from the provider’s perspective—cost analysis for a mid-size university hospital
Rosenberg, C., Kroos, K., Rosenberg, B., Hosten, N., & Fleßa, S. (2013) · European Radiology · doi:10.1007/s00330-013-2810-5 · Cited by 20
How Stochasticity and Emergencies Disrupt the Surgical Schedule
Tancrez, J., Roland, B., Cordier, J.-P., & Riane, F. (2009) · Studies in computational intelligence · doi:10.1007/978-3-642-00179-6_14 · Cited by 20
Simulation modeling for facility allocation of outpatient department
Kritchanchai, D., & Hoeur, S. (2017) · International Journal of Healthcare Management · doi:10.1080/20479700.2017.1359920 · Cited by 19
Queuing Networks in Health Care Systems
Zonderland, M. E., & Boucherie, R. J. (2011) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4614-1734-7_9 · Cited by 19
Applying operations research to optimize a novel population management system for cancer screening
Zai, A., Kim, S., Kamis, A. A., Hung, K., Ronquillo, J. G., Chueh, H. C., & Atlas, S. J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001681 · Cited by 18
Improving emergency department resource planning: a multiple case study
Assad, D. B. N., & Spiegel, T. (2019) · Health Systems · doi:10.1080/20476965.2019.1680260 · Cited by 18
Fluid approximations and control of queues in emergency departments
Niyirora, J., & Zhuang, J. (2017) · European Journal of Operational Research · doi:10.1016/j.ejor.2017.03.013 · Cited by 17
Integrating discrete-event simulation and artificial intelligence for shortening bed waiting times in hospitalization departments during respiratory disease seasons
Barrios, M. A. O., Ishizaka, A., Barbati, M., Arias-Fonseca, S., Khan, J., Gül, M., Yücesan, M., Alfaro-Saíz, J.-J., & Pérez-Aguilar, A. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110405 · Cited by 19
Policy-Based Agents for Virtual Machine Migration in Cloud Data Centers
Gutiérrez-García, J. O., & Ramírez–Nafarrate, A. (2013) · IEEE International Conference on Services Computing · doi:10.1109/scc.2013.55 · Cited by 17
Evaluating nurse staffing levels in perianesthesia care units using discrete event simulation
Siddiqui, S., Morse, E. C., & Levin, S. (2017) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2017.1346729 · Cited by 17
System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
Uriarte, A. G., Zúñiga, E. R., Moris, M. U., & Ng, A. H. C. (2015) · Journal of Physics Conference Series · doi:10.1088/1742-6596/616/1/012015 · Cited by 17
Axiomatic approach for efficient healthcare system design and optimization
Peck, J. S., Nightingale, D. J., & Kim, S. (2010) · CIRP Annals · doi:10.1016/j.cirp.2010.03.033 · Cited by 16
Achieving level patient flow in an outpatient oncology clinic
Suss, S., Bhuiyan, N., Demirli, K., & Batist, G. (2017) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2017.1403521 · Cited by 16
A Simulation Study to Improve Performance in the Preparation and Delivery of Antineoplastic Medications at a Community Hospital
Lu, T., Wang, S., Li, J., Lucas, P., Anderson, M., & Ross, K. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9786-y · Cited by 16
Interdependency of Hospital Departments and Hospital-Wide Patient Flows
Kolker, A. (2013) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4614-9512-3_2 · Cited by 16
Patient Flow Within Hospitals: A Conceptual Model
Leviner, S. (2019) · Nursing Science Quarterly · doi:10.1177/0894318419881981 · Cited by 16
Time series forecasting in an outpatient cancer clinic using common-day clustering
Claudio, D., Miller, A., & Huggins, A. (2014) · IIE Transactions on Healthcare Systems Engineering · doi:10.1080/19488300.2013.879459 · Cited by 15
Sampling the Functional Kolmogorov Forward Equations for Nonstationary Queueing Networks
Pender, J. J. (2016) · INFORMS journal on computing · doi:10.1287/ijoc.2016.0702 · Cited by 15
The Modeling, Analysis, and Management of Intensive Care Units
Bountourelis, T., Ulukuş, M. Y., Kharoufeh, J. P., & Nabors, S. G. (2013) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4614-5885-2_6 · Cited by 15
A modular simulation study to improve patient flow to inpatient units in the emergency department
Norouzzadeh, S., Garber, J., Longacre, M., Akbar, S., Riebling, N., & Clark, R. (2014) · Journal of Hospital Administration · doi:10.5430/jha.v3n6p205 · Cited by 14
A System-Theoretic Method for Modeling, Analysis, and Improvement of Lung Cancer Diagnosis-to-Surgery Process
Lee, H. K., Ju, F., Osarogiagbon, R. U., Faris, N. R., Yu, X., Rugless, F., Jiang, S., & Li, J. (2017) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2016.2643627 · Cited by 14
Scheduling the Hospital-Wide Flow of Elective Patients
Gärtner, D. (2013) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-319-04066-0_3 · Cited by 14

Authors: Hall, R. W.
Affiliations: University of Southern California (US)
Corresponding author: Randolph W. Hall
ORCID: Randolph W. Hall
Venue: International Series in Operations Research & Management Science
Publisher: Springer US
Published: 2006
ISSN: 0884-8289 (ISSN-L)
DOI: 10.1007/978-0-387-33636-7
OpenAlex: W1589440227
Cited by: 243
References: 0
Citations by year: 2026: 3 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 3 · 2021: 10 · 2020: 15 · 2019: 15 · 2018: 6 · 2017: 20 · 2016: 22 · 2015: 18 · 2014: 16 · 2013: 27 · 2012: 15
FWCI: 7.71
Type: book
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: International series in management science/operations research/International series in operations research & management science (publishedVersion)
Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Funders: U.S. Department of Homeland Security
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Healthcare Operations and Scheduling Optimization
Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Quality and Management
Keywords: patient flow, emergency department overcrowding, triage, workforce scheduling, discrete event simulation, queueing analysis, medical supplies distribution, patient satisfaction, healthcare demand forecasting, continuum of care, hospital logistics, process improvement

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Patient Flow: Reducing Delay in Healthcare Delivery

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks