Patient Flow: Reducing Delay in Healthcare Delivery

The impact of comprehensive air purification on patient duration of stay, discharge outcomes, and health care economics: A retrospective cohort study

Stawicki, S. P., Wolfe, S., Brisendine, C., Eid, S. M., Zangari, M., Ford, F., Snyder, B., Moyer, W., Levicoff, L., & Burfeind, W. R. (2020) · Surgery · doi:10.1016/j.surg.2020.07.021 · Cited by 14

Improving Outpatient Waiting Time Using Simulation Approach

Jamjoom, A. A., Abdullah, M., Abulkhair, M., Alghamdi, T., & Mogbil, A. M. (2014) · UKSim European Symposium on Computer Modeling and Simulation (EMS) · doi:10.1109/ems.2014.85 · Cited by 14

Alabama Veterans Rural Health Initiative: A Pilot Study of Enhanced Community Outreach in Rural Areas

Hilgeman, M. M., Mahaney‐Price, A. F., Stanton, M. P., McNeal, S. F., Pettey, K. M., Tabb, K. D., Litaker, M. S., Parmelee, P. A., Hamner, K. M., Martin, M. Y., et al. (2013) · The Journal of Rural Health · doi:10.1111/jrh.12054 · Cited by 14

Reducing COPD readmissions through predictive modeling and incentive-based interventions

Zhong, X., Lee, S., Zhao, C., Lee, H. K., Bain, P. A., Kundinger, T., Sommers, C., Baker, C., & Li, J. (2017) · Health Care Management Science · doi:10.1007/s10729-017-9426-2 · Cited by 14

Evaluation of a continuous monitoring and feedback initiative to improve quality of anaesthetic care: a mixed-methods quasi-experimental study

Benn, J. J., Arnold, G., D’Lima, D., Wei, I., Moore, J., Aleva, F. E., Smith, A. F., Bottle, A., & Brett, S. J. (2015) · Health Services and Delivery Research · doi:10.3310/hsdr03320 · Cited by 14

Improving Efficiency of Interventional Service by Lean Six Sigma

Zhang, L., Runzheimer, K., Bonifer, E., Keulers, A., Piechowiak, E. I. I., & Mahnken, A. H. (2015) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2015.05.016 · Cited by 13

An analytical representation of flexible resource allocation in hospitals

Thorwarth, M., Rashwan, W., & Arisha, A. (2015) · Flexible Services and Manufacturing Journal · doi:10.1007/s10696-015-9216-4 · Cited by 13

Application of Automation and Manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts. Case study: Smart Hospital

Cáceres, C., Rosário, J. M., & Amaya, D. (2020) · Gestão & Produção · doi:10.1590/0104-530x5416-20 · Cited by 13

A Study of New York City Obstetrics Units Demonstrates the Potential for Reducing Hospital Inpatient Capacity

Green, L. V., & Liu, N. (2015) · Medical Care Research and Review · doi:10.1177/1077558715572388 · Cited by 13

Impact of application of queuing theory on operational efficiency of patient registration

Tyagi, M., Tyagi, P. K., Singh, S., Sathpathy, S., Kant, S., Gupta, S. K., & Singh, R. (2021) · Medical Journal Armed Forces India · doi:10.1016/j.mjafi.2021.06.028 · Cited by 12

Incentives in U.S. Healthcare Operations

Dai, T. (2015) · Decision Sciences · doi:10.1111/deci.12136 · Cited by 12

Multi-criteria Decision Making Approaches to Prioritize Surgical Patients

Rahimi, S. A., Jamshidi, A., Ruiz, A. B., & Aı̈t-Kadi, D. (2016) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-319-35132-2_3 · Cited by 12

Offload zone patient selection criteria to reduce ambulance offload delay

Laan, C. M., Vanberkel, P. T., Boucherie, R. J., & Carter, A. J. E. (2016) · Operations Research for Health Care · doi:10.1016/j.orhc.2016.09.001 · Cited by 12

Simulation-based patient flow analysis in an endoscopy unit

Koo, P.-H., Nielsen, K. B., Jang, J., & Kolker, A. (2010) · IEEE Workshop on Health Care Management (WHCM) · doi:10.1109/whcm.2010.5441266 · Cited by 12

An Econometric Analysis of Patient Flows in the Cardiac ICUPreprint

Diwas Singh, K. C., & Terwiesch, C. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1815527 · Cited by 12

Computer-aided hospital layout optimization based on patient flow analysis: A case study from China

Chen, X., Qiu, L., Ma, H., Jin, M., & Wang, M. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.108899 · Cited by 12

Work Systems Analysis of Emergency Nurse Patient Flow Management Using the Systems Engineering Initiative for Patient Safety Model: Applying Findings From a Grounded Theory Study

Benjamin, E., & Giuliano, K. K. (2024) · JMIR Human Factors · doi:10.2196/60176 · Cited by 18

Improving The Health Care Systems Performance By Simulation Optimization

Feili, H. R. (2013) · Journal of Mathematics and Computer Science · doi:10.22436/jmcs.07.01.08 · Cited by 11

Queueing Models in Healthcare

Creemers, S., Lambrecht, M., & Vandaele, N. J. (2007) · Lirias · Cited by 11

Optimizing ICU Discharge Decisions with Patient ReadmissionsPreprint

Chan, C. W., Farias, V. F., Bambos, N., & Escobar, G. J. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1920416 · Cited by 11

Mathematical Programming and Heuristics for Patient Scheduling in Hospitals

Gärtner, D., & Padman, R. (2016) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-0920-2.ch038 · Cited by 10

Models for intra-hospital patient routing

Turan, B., Schmid, V., & Doerner, K. F. (2011) · IEEE International Symposium on Logistics and Industrial Informatics (LINDI) · doi:10.1109/lindi.2011.6031162 · Cited by 10

Using queueing models to estimate system capacity

Lantz, B., & Rosén, P. (2017) · Production Planning & Control · doi:10.1080/09537287.2017.1329563 · Cited by 10

A Decision Support System for Surgery Theatre Scheduling Problems

Gomes, C. F., Sperandio, F., Borges, J. L., Almada‐Lobo, B., & Brito, A. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-24352-3_23 · Cited by 10

A Markov chain model for analysis of physician workflow in primary care clinics

Lee, S., Bain, P. A., Musa, A. J., & Li, J. (2020) · Health Care Management Science · doi:10.1007/s10729-020-09517-1 · Cited by 9

Service Engineering: Data-Based Course Development and Teaching

Mandelbaum, A., & Zeltyn, S. (2010) · INFORMS Transactions on Education · doi:10.1287/ited.1100.0058 · Cited by 9

Cluster-randomized design for simulation-based evaluation of complex healthcare interventions

Sobolev, B., & Kuramoto, L. (2010) · Journal of Simulation · doi:10.1057/jos.2009.14 · Cited by 8

Il contributo del Sistema Informativo alla gestione logistica dei materiali. Un caso di studio nel settore sanitario

Bene, L. D., & Ceccarelli, R. (2016) · MANAGEMENT CONTROL · doi:10.3280/maco2016-001009 · Cited by 8

Application of Discrete Events Simulation for the Department of Emergency at Peja Regional Hospital Case Study Kosovo

Hajrizi, E., & Berisha, D. (2019) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2019.12.556 · Cited by 8

A Markov Chain Model for Transient Analysis of Handoff Process in Emergency Departments

Zhu, W., Patterson, B. W., Smith, M. A., Rifleman, A. C., Carayon, P., & Li, J. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2996066 · Cited by 8

Safely learning Intensive Care Unit management by using a Management Flight Simulator

García-Vicuña, D., Esparza, L., & Mallor, F. (2020) · Operations Research for Health Care · doi:10.1016/j.orhc.2020.100274 · Cited by 8

Tactical Planning in Healthcare using Approximate Dynamic Programming

Hulshof, P. J. H., Mes, M., Boucherie, R. J., & Hans, E. W. (2013) · University of Twente Research Information · Cited by 8

The Modeling of Interrupts and Unplanned Absences in Health Care Operations

Creemers, S., & Lambrecht, M. (2011) · Supply Chain Forum an International Journal · doi:10.1080/16258312.2011.11517252 · Cited by 7

Joint visit in primary care clinics: Modeling, analysis, and an application study

Lee, H. K., Zhong, X., Li, J., Musa, A. J., & Bain, P. A. (2017) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2017.1418766 · Cited by 7

Improving Patient Flow in Emergency Departments with OR Techniques: A Literature OverviewPreprint

Carmen, R., & Nieuwenhuyse, I. V. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2529010 · Cited by 7

Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors

Yen, C., Epling, J. W., Rockwell, M., & Vaughn-Cooke, M. (2026) · Diagnostics · doi:10.3390/diagnostics16020347 · Cited by 6

Location-aware business process management for real-time monitoring of a cardiac care process

Tchemeube, R. B., Amyot, D., & Mouttham, A. (2013) · Conference of the Centre for Advanced Studies on Collaborative Research · Cited by 6

Impact of distance monitoring service in managing healthcare demand: a case study through the lens of cocreation

Enam, A., Dreyer, H. C., & de Boer, L. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08164-2 · Cited by 9

A simulation-based decision support tool to analyze clinical pathways in hospital

Tànfani, E., & Testi, A. (2012) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-88-470-2321-5_12 · Cited by 6

Using social network analysis to identify the most central services in an emergency department

Niyirora, J., & Yingling, J. K. (2014) · Health Systems · doi:10.1057/hs.2014.30 · Cited by 6

HIV-exposed infant follow-up in Mozambique: formative research findings for the design of a cluster randomized controlled trial to improve testing and ART initiation

Vieira, L., Mahumane, A., Napúa, M., Chale, F., Manuel, J. L., Cowan, J. G., Sherr, K., Chapman, R. R., & Pfeiffer, J. T. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-5051-8 · Cited by 6

Binary Programming Model for Rostering Ambulance Crew-Relevance for the Management and Business

Horvat, A. M., Dudić, B., Radovanov, B., Melović, B., Sedlak, O., & Dávideková, M. (2020) · Mathematics · doi:10.3390/math9010064 · Cited by 6

Contribution margin per hour of operating room to reallocate unutilized operating room time: a cost-effectiveness analysis

Saporito, A., Regina, D. L., Perren, A., Gabutti, L., Anselmi, L., Cafarotti, S., & Mongelli, F. (2021) · Brazilian Journal of Anesthesiology (English Edition) · doi:10.1016/j.bjane.2021.03.024 · Cited by 6

A conceptual modelling framework for stakeholder participation in simulation studies

Tako, A. A., Kotiadis, K., & Vasilakis, C. (2010) · UCL Discovery (University College London) · Cited by 6

Location-Aware Business Process Management for Real-time Monitoring of Patient Care Processes

Tchemeube, R. B. (2013) · uO Research (University of Ottawa) · doi:10.20381/ruor-3102 · Cited by 6

The Lean Librarian

Thomas, D. A. (2015) · Journal of Hospital Librarianship · doi:10.1080/15323269.2015.982021 · Cited by 5

Improving Discharge Process at the University of Wisconsin Hospital: A System-Theoretic Method

Chen, N., Xie, X., Zeng, Z., Zhong, X., Brenny‐Fitzpatrick, M., Liegel, B. A., Zheng, L., & Li, J. (2019) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2019.2896271 · Cited by 5

Agent-Based Modeling and Simulation as a Tool for Decision Support for Managing Patient Falls in a Dynamic Hospital Setting

Bhandari, G., Kobti, Z., Snowdon, A. W., Nakhwal, A., Rahaman, S. F., & Kolga, C. A. (2010) · Annals of information systems · doi:10.1007/978-1-4419-6181-5_8 · Cited by 5

Systematic platform design of a real time healthcare management system: Minimizing overall patient waiting time

Alkhaldi, F., & Alouani, A. T. (2017) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2017.8123001 · Cited by 5

Variation in surgical demand and time to hip fracture repair: a Canadian database study

Sheehan, K. J., Sobolev, B., Guy, P., Kim, J. D., Kuramoto, L., Beaupré, L. A., Levy, A. R., Morin, S. N., Sutherland, J. M., Harvey, E. J., et al. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05791-5 · Cited by 5

Interacting hospital departments and uncertain patient flows : theoretical models and applications

Vanberkel, P. T. (2011) · doi:10.3990/1.9789036531795 · Cited by 5

Prozessreorganisation im Krankenhaus: Lassen sich auch logistische Konzepte der Industrie im Krankenhaus umsetzen?

Bornewasser, M. (2013) · Springer eBooks · doi:10.1007/978-3-658-00873-4_4 · Cited by 4

Persuasive Technology for Reducing Waiting and Service Cost

Ikwunne, T. A., & Orji, R. (2016) · African Human Computer Interaction Conference (AfriCHI) · doi:10.1145/2998581.2998590 · Cited by 4

Markov chain analysis for the neonatal inpatient flow in a hospital

Kanai, Y., & Takagi, H. (2020) · Health Care Management Science · doi:10.1007/s10729-020-09515-3 · Cited by 4

Healthcare Optimization : Current Status and Vitalization Suggestions

Kang, S.-H., Kim, B., Jun, C., Choi, B. K., & Lee, S. (2013) · Journal of Korean Institute of Industrial Engineers · doi:10.7232/jkiie.2013.39.4.313 · Cited by 4

National perspective on in-hospital emergency units in Iraq

Lafta, R., & Al‐Nuaimi, M. A. (2013) · Qatar medical journal · doi:10.5339/qmj.2013.4 · Cited by 4

Queuing network models for panel sizing in oncology

Vanberkel, P. T., Litvak, N., Puterman, M. L., & Tyldesley, S. K. (2018) · Queueing Systems · doi:10.1007/s11134-018-9571-4 · Cited by 4

A dichotomic algorithm for an operating room scheduling problem

Abdeljaouad, M. A., Saadani, N. E. H., & Bahroun, Z. (2014) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit.2014.6996882 · Cited by 4

Optimality Test for Multi-Sever Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals

Ikwunne, T. A., & Onyesolu, M. O. (2016) · International Journal of Modern Education and Computer Science · doi:10.5815/ijmecs.2016.04.02 · Cited by 4

How do queuing concepts and tools help to efficiently manage hospitals when the patients are impatient? A demonstration

Shanmugam, R. (2014) · International Journal of Research in Medical Sciences · doi:10.5455/2320-6012.ijrms20140882 · Cited by 3

Emergency Departments: “Repairs While You Wait, No Appointment Necessary”

McKay, K. N., Engels, J. E., Jain, S., Chudleigh, L., Shilton, D., & Sharma, A. K. (2013) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4614-5885-2_13 · Cited by 3

Return on investment of a model of access combining triage with initial management: an economic analysis

Snowdon, D. A., Harding, K. E., Taylor, N. F., Leggat, S. G., Kent, B., Lewis, A. K., & Watts, J. J. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-045096 · Cited by 3

Reallocation of unoccupied beds among requesting wards

Pishnamazzadeh, M., Sepehri, M. M., Panahi, A., & Moodi, P. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02215-4 · Cited by 3

Assessment of Patient Processing in Emergency Departments of Hospitals

Trial, S. L. (2009) · Cited by 3

Object oriented framework for healthcare simulation

Venkitasubramanian, A., Roberts, S. D., & Joines, J. A. (2015) · Winter Simulation Conference · doi:10.1109/wsc.2015.7408266 · Cited by 3

A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients

Zeng, Z., Fan, Z., Xie, X., Swartz, C. H., DePriest, P. D., & Li, J. (2019) · Flexible Services and Manufacturing Journal · doi:10.1007/s10696-019-09347-6 · Cited by 3

Process improvement in healthcare

Niemeijer, G. C. (2012) · UvA-DARE (University of Amsterdam) · Cited by 3

Improvement of surgery duration estimation using statistical methods and analysis of scheduling policies using discrete event simulation

Olsen, A. B. (2015) · doi:10.31274/etd-180810-4048 · Cited by 3

Part III. Appendices

de Jongh, E. M. (2012) · Cited by 3

Transient analysis of patient flow in hospitals: A dynamic queueing network approach

Wang, T., Wang, Q., & Li, J. (2025) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2025.2562131 · Cited by 2

Data-driven modelling of IRCU patient flow during the COVID-19 pandemic

Navas-Ortega, A. C., Sánchez-Martínez, J. A., García‐Flores, P., Morales-García, C., & Fabregas, R. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.10.017 · Cited by 2

An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure

Huang, Y.-L., Bansal, A., Berg, B. P., Sanvick, C., Klavetter, E. W., Sandhu, G. S., & Greason, K. L. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01722-x · Cited by 2

Assigning multi-skill configurations to multiple servers with a Scenario-Based Planning and Recombination Approach

Bolsi, B., de Queiroz, T. A., de Lima, V. L., Kramer, A., & Iori, M. (2024) · Computers & Operations Research · doi:10.1016/j.cor.2024.106719 · Cited by 2

Patient Flow Prediction-Based Energy Savings in Green Hospitals: A Simulation Study

Wang, Q., Wang, T., & Li, J. (2024) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2024.3431912 · Cited by 2

Modelling diversity in hospital strategies in city-scale ambulance dispatching with coupled game-theoretic model and discrete-event simulation

Fu, X., Krzhizhanovskaya, V. V., Yakovlev, A., & Kovalchuk, S. V. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104777 · Cited by 2

Discrete Event Simulation and Real Time Locating Systems

Day, T. E., Babu, A. N., Kymes, S. M., & Ravi, N. (2012) · International Journal of E-Adoption · doi:10.4018/jea.2012100102 · Cited by 2

Nurse Staff Allocation in a Multi-stage Queuing System with Patients’ Feedback Flow for an Outpatient Department

Zhu, H., Tang, J., & Gong, J. (2013) · iBusiness · doi:10.4236/ib.2013.53b019 · Cited by 2

Étude de la perturbation par les urgences du planning opératoire

Tancrez, J., Roland, B., Cordier, J.-P., & Riane, F. (2011) · Logistique & Management · doi:10.1080/12507970.2011.11516987 · Cited by 2

A simulation study on the US rehabilitation service process for patients with modest-to-severe traumatic brain injury

Mo, Y., Chandramouli, A., & Kong, N. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1178863 · Cited by 2

Customer Service Multichannel Model in a HCPS: A Discrete Simulation Case Study

Restrepo-Morales, J. A., Betancur, E. A. G., & López, J. G. V. (2019) · Innovar · doi:10.15446/innovar.v29n72.77934 · Cited by 2

Reconciling quality and cost: A case study in interventional radiology

Zhang, L., Domröse, S., & Mahnken, A. H. (2015) · European Radiology · doi:10.1007/s00330-015-3702-7 · Cited by 2

Reducing Fall-Related Revisits for Elderly Diabetes Patients in Emergency Departments: A Transition Flow Model

Zhu, W., DeLonay, A., Smith, M. A., Carayon, P., & Li, J. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3082115 · Cited by 2

Modeling an integrated emergency post: designing a simulation model for the collaboration between the GP post Almelo and the emergency department of ZGT Almelo

Visser, R. (2011) · Cited by 2

Improving Patient Transportation Performance by Developing and Implementing a Generic Simulation Model

Henshaw, C. (2015) · TSpace (University of Toronto) · Cited by 2

Inpatient Care

Truong, V. (2018) · doi:10.1002/9781119300977.ch11 · Cited by 2

Organizing acute care : logistic optimization of an integrated emergency post using discrete event simulation

Borgman, N. J. (2012) · Cited by 2

Population Health as a Network of Services: Integration of Health, Education, and Social Services

Rouse, W. B., Pepe, K. M., & Johns, M. M. E. (2018) · Service science: research and innovations in the service economy · doi:10.1007/978-3-319-98512-1_26 · Cited by 1

Exploring waiting time, waste, and resources used for boarding patients in emergency department

Adriansyah, A. A., Firdausi, N. J., Lestari, T., Widodo, K. H., & Sa’adah, N. (2023) · Bali Medical Journal · doi:10.15562/bmj.v12i2.4318 · Cited by 1

A queueing model for the ambulance ramping problem with an offload zone

Zuk, J., & Kirszenblat, D. (2025) · Operations Research Data Analytics and Logistics · doi:10.1016/j.ordal.2025.200470 · Cited by 1

Dynamic decision system for ENT surgery waiting list prioritization using M-Score and TOPSIS methodology

Silva-Aravena, F., & Morales, J. (2025) · Health Policy and Technology · doi:10.1016/j.hlpt.2025.101036 · Cited by 2

Transient Analysis of a Continuous-Service Markovian Queueing Model with Offline and Online Customers

Sudhesh, R., Balakrishnan, P., & Priya, R. D. S. (2025) · Symmetry · doi:10.3390/sym17071097 · Cited by 1

Incorporating remote visits into an outpatient clinic

Eatock, J., & Eldabi, T. (2009) · Journal of Simulation · doi:10.1057/jos.2009.11 · Cited by 1

Modeling and analysis of care delivery services within patient rooms

Wang, J., Li, J., & Howard, P. K. (2011) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case.2011.6042470 · Cited by 1

MEDAL: Measuring of Emergency Departments' Adaptive Load

Edward, V., Carmeli, B., Greenshpan, O., Baras, D., & Marmor, Y. N. (2010) · Studies in health technology and informatics · doi:10.3233/978-1-60750-588-4-218 · Cited by 1

Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process

Mahon, D. M., Walsh, J., Broderick, E., & Nogales, J. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-70569-5_12 · Cited by 1

Produktivität und Dienstleistungen schließen sich nicht aus

Ganz, W., & Tombeil, A.-S. (2014) · Springer eBooks · doi:10.1007/978-3-658-02958-6_20 · Cited by 1

Going with the Flow: Left Without Being Seen in the Emergency Department

Leviner, S. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/6vgg-yx94 · Cited by 1

Modeling and analysis of primary care to specialty care referral process: A case study at the university of florida health Jacksonville

Zhong, X., Prakash, A. M., Petty, L., & James, R. A. (2017) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2017.8256204 · Cited by 1

optimizing outpatient Department Staffing Level using Multi-Fidelity Models

Pang, B., Xie, X., Heidergott, B., & Peng, Y. (2019) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2019.8842984 · Cited by 1

HOSPITAL CHOICE IN LITHUANIA: PATIENTS’ATTITUDE

Janušonis, V. (2019) · Tiltai · doi:10.15181/tbb.v82i1.1969 · Cited by 1

Improving patient flow at hospital emergency services — A simulation study

Wang, X., Shen, X., & Liu, X. (2011) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2011.5959511 · Cited by 3

Understanding and Improving Patient Flow in Outpatient Clinics and Emergency Departments

Zaerpour, F. (2018) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/32653

Improving Patient Flow and Reducing Emergency Department Crowding: A Guide for Hospitals

McHugh, M., VanDyke, K., McClelland, M. S., & Moss, D. (2012) · Cited by 80

Modeling Patient Flows Through the Healthcare System

Hall, R. W., Belson, D. L., Murali, P., & Dessouky, M. M. (2006) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-0-387-33636-7_1 · Cited by 68

Managing patient flow in hospitals : strategies and solutions

Litvak, E., & Dentzer, S. (2010) · Cited by 37