Al Harbi S, Aljohani B, Elmasry L, Baldovino FL, Raviz KB, Altowairqi L, et al. Streamlining patient flow and enhancing operational efficiency through case management implementation. BMJ Open Qual. 2024;13(1):e002484.
Google Scholar
Nguyen Q, Wybrow M, Burstein F, Taylor D, Enticott J. Understanding the impacts of health information systems on patient flow management: a systematic review across several decades of research. PLoS ONE. 2022;17(9):e0274493.
Google Scholar
Rabiei R, Almasi S. Requirements and challenges of hospital dashboards: a systematic literature review. BMC Med Inf Decis Mak. 2022;22(1):287.
Google Scholar
Samadbeik M, Staib A, Boyle J, Khanna S, Bosley E, Bodnar D, et al. Patient flow in emergency departments: a comprehensive umbrella review of solutions and challenges across the health system. BMC Health Serv Res. 2024;24(1):274.
Google Scholar
Harrison KL, Taylor HA. Healthcare resource allocation decisions affecting uninsured services. J Health Organ Manag. 2016;30(8):1162–82.
Google Scholar
Ngatindriatun N, Alfarizi M, Arifian R. Green hospital practices on patient’s satisfaction in Indonesian hospital: medical specialist department case investigation. J Modelling Manage. 2024;19(3):899–924.
Google Scholar
Cleveland Clinic, SAS. Cleveland Clinic and SAS share COVID-19 predictive models to help hospitals plan for current and future needs. Cleveland: Newsroom; 2020 Apr 21 [cited 2024 May 23]. Available from: https://newsroom.clevelandclinic.org/2020/04/21/cleveland-clinic-and-sas-share-covid-19-predictive-models-to-help-hospitals-plan-for-current-and-future-needs
CADI. Singapore general hospital improves bed management with automated system. Singapore: CADI. 2010 Jul 1 [cited 2024 May 23]. Available from: https://cadi.com.sg/2010/07/01/singapore-general-hospital-improves-bed-management-with-automated-system/
Hadid M, Elomri A, El Mekkawy T, Kerbache L, El Omri A, El Omri H, et al. Bibliometric analysis of cancer care operations management: current status, developments, and future directions. Health Care Manag Sci. 2022;25(1):166–85.
Google Scholar
Fhoula B, Hadid M, Elomri A, Kerbache L, Hamad A, Al Thani MHJ, et al. Home cancer care research: a bibliometric and visualization analysis (1990–2021). Int J Environ Res Public Health. 2022;19(20):13116.
Google Scholar
Hadid M, Elomri A, El Mekkawy T, Jouini O, Kerbache L, Hamad A. Operations management of outpatient chemotherapy process: an optimization-oriented comprehensive review. Oper Res Perspect. 2022;9:100214.
Liu L, Mei S. Visualizing the GVC research: a co-occurrence network based bibliometric analysis. Scientometrics. 2016;109(2):953–77.
Google Scholar
Radhakrishnan S, Erbis S, Isaacs JA, Kamarthi S. Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLoS ONE. 2017;12(3):e0172778.
Google Scholar
Do Q, Ramudhin A, Colicchia C, Creazza A, Li D. A systematic review of research on food loss and waste prevention and management for the circular economy. Int J Prod Econ. 2021;239:108209.
Google Scholar
Sandeep J. Understanding role of emergency department. Maxhealthcare; 2022 [cited 2024 May 23]. Available from: https://www.maxhealthcare.in/blogs/understanding-role-of-emergency-department
Bassford C. Decisions regarding admission to the ICU and international initiatives to improve the decision-making process. Crit Care. 2017;21(1):1–3.
Google Scholar
Rung R. The difference between inpatient and outpatient medical care. Healthline; 2023 [cited 2024 May 23]. Available from: https://www.healthline.com/health/outpatient-vs-inpatient-surgery
Rusciano A. What is an elective surgery? Osfhealthcare; 2022 [cited 2024 May 23]. Available from: https://www.osfhealthcare.org/blog/what-is-an-elective-surgery
Armony M, Chan CW, Zhu B. Critical care capacity management: understanding the role of a step down unit. Prod Oper Manage. 2018;27(5):859–83.
Google Scholar
Incision’s content team. Digital guide to the OPR. Incision; 2022 [cited 2024 May 23]. Available from: https://www.incision.care/en/blog/operating-room
Mills AF, Helm JE, Wang Y. Surge capacity deployment in hospitals: effectiveness of response and mitigation strategies. Manuf Service Oper Manage. 2021;23(2):367–87.
Haller HL, Wurzer P, Peterlik C, Gabriel C, Cancio LC. Burn management in disasters and humanitarian crises. In: Herndon DN, editor. Total burn care. 5th ed. Elsevier; 2018. pp. 36–49.
Izady N. Appointment capacity planning in specialty clinics: a queueing approach. Oper Res. 2015;63(4):916–30.
Google Scholar
Nezamoddini N, Khasawneh MT. Modeling and optimization of resources in multi-emergency department settings with patient transfer. Oper Res Health Care. 2016;10:23–34.
Google Scholar
Bai J, Fügener A, Schoenfelder J, Brunner JO. Operations research in intensive care unit management: a literature review. Health Care Manag Sci. 2021;21(1):1–24.
Google Scholar
Hulshof PJH, Mes MRK, Boucherie RJ, Hans EW. Patient admission planning using approximate dynamic programming. Flex Serv Manuf J. 2016;28(1–2):30–61.
Google Scholar
Zamani H, Parvaresh F, Izady N, Farahani RZ. Admission, discharge, and transfer control in patient flow logistics: overview and future research. Transp Res E Logist Transp Rev. 2024;191:103722.
Google Scholar
Youn S, Geismar HN, Pinedo M. Planning and scheduling in healthcare for better care coordination: current understanding, trending topics, and future opportunities. Prod Oper Manage. 2022;31(12):4407–23.
Google Scholar
Breuer DJ, Kapadia S, Lahrichi N, Benneyan JC. Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty. Ann Oper Res. 2022;312(2):1–17.
Google Scholar
Kanani Y, Takagi H. Markov chain analysis for the neonatal inpatient flow in a hospital. Health Care Manag Sci. 2021;24(1):92–116.
Google Scholar
Rau CL, Tsai PFJ, Liang SFM, Tan JC, Syu HC, Jheng YL, et al. Using discrete-event simulation in strategic capacity planning for an outpatient physical therapy service. Health Care Manag Sci. 2013;16(4):352–65.
Google Scholar
Nguyen TBT, Sivakumar AI, Graves SC. Capacity planning with demand uncertainty for outpatient clinics. Eur J Oper Res. 2018;267(1):338–48.
Google Scholar
Carew S, Nagarajan M, Shechter S, Arneja J, Skarsgard E. Dynamic capacity allocation for elective surgeries: reducing urgency-weighted wait times. Manuf Service Oper Manage. 2021;23(2):407–24.
Veneklaas W, Leeftink AG, van Boekel PHCM, Hans EW. On the design, implementation, and feasibility of hospital admission services: the admission lounge case. Omega. 2021;100:102308.
Google Scholar
Ben Abdelaziz F, Masmoudi M. A multiobjective stochastic program for hospital bed planning. J Oper Res Soc. 2012;63(4):530–8.
Google Scholar
Patrick J. Access to long-term care: the true cause of hospital congestion? Prod Oper Manage. 2011;20(3):347–58.
Google Scholar
Zhang Y, Puterman ML, Nelson M, Atkins D. A simulation optimization approach to long-term care capacity planning. Oper Res. 2012;60(2):249–61.
Google Scholar
Zhang Y, Puterman ML. Developing an adaptive policy for long-term care capacity planning. Health Care Manag Sci. 2013;16(3):271–9.
Google Scholar
Cardoso-Grilo T, Oliveira MD, Barbosa-Póvoa AP. Fostering long-term care planning in practice: extending objectives and advancing stochastic treatment within location-allocation modelling. Eur J Oper Res. 2021;291(3):1041–61.
Google Scholar
Bidhandi HM, Patrick J, Noghani P, Varshoei P. Capacity planning for a network of community health services. Eur J Oper Res. 2019;275(1):266–79.
Google Scholar
Bravo F, Braun M, Farias V, Levi R, Lynch C, Tumolo J, et al. Optimization-driven framework to understand health care network costs and resource allocation. Health Care Manag Sci. 2021;24(3):640–60.
Google Scholar
Liu K, Liu C, Xiang X, Tian Z. Testing facility location and dynamic capacity planning for pandemics with demand uncertainty. Eur J Oper Res. 2023;304(1):150–68.
Google Scholar
Khodaparasti S, Maleki HR, Jahedi S, Bruni ME, Beraldi P. Enhancing community based health programs in iran: a multi-objective location-allocation model. Health Care Manag Sci. 2017;20(4):485–99.
Google Scholar
Anparasan A, Lejeune M. Resource deployment and donation allocation for epidemic outbreaks. Ann Oper Res. 2019;283(1):9–32.
Google Scholar
Devi Y, Patra S, Singh SP. A location-allocation model for influenza pandemic outbreaks: a case study in India. Oper Manage Res. 2021;15(1–2):1–16.
Manupati VK, Schoenherr T, Wagner SM, Soni B, Panigrahi S, Ramkumar M. Convalescent plasma bank facility location-allocation problem for COVID-19. Transp Res E. 2021;156:102517.
Google Scholar
Bertsimas D, Digalakis V Jr, Jacquillat A, Li ML, Previero A. Where to locate COVID-19 mass vaccination facilities? Nav Res Logist. 2022;69(2):179–200.
Google Scholar
Ardakani ES, Larimi NG, Nejad MO, Hosseini MM, Zargoush M. A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources. Omega. 2023;114:102750.
Google Scholar
Hulshof PJ, Boucherie RJ, Hans EW, Hurink JL. Tactical resource allocation and elective patient admission planning in care processes. Health Care Manag Sci. 2013;16(2):152–66.
Google Scholar
Andersen AR, Nielsen BF, Reinhardt LB. Optimization of hospital ward resources with patient relocation using Markov chain modeling. Eur J Oper Res. 2017;260(3):1152–63.
Google Scholar
Batista A, Vera J, Pozo D. Multi-objective admission planning problem: a two-stage stochastic approach. Health Care Manag Sci. 2020;23(1):51–65.
Google Scholar
Malik MM, Khan M, Abdallah S. Aggregate capacity planning for elective surgeries: a bi-objective optimization approach to balance patients waiting with healthcare costs. Oper Res Health Care. 2015;7(1):3–13.
Google Scholar
Dellaert N, Jeunet J. A variable neighborhood search algorithm for the surgery tactical planning problem. Comput Oper Res. 2017;84(1):216–25.
Google Scholar
Anjomshoa H, Dumitrescu I, Lustig I, Smith OJ. An exact approach for tactical planning and patient selection for elective surgeries. Eur J Oper Res. 2018;268(2):728–39.
Google Scholar
Aslani N, Kuzgunkaya O, Vidyarthi N, Terekhov D. A robust optimization model for tactical capacity planning in an outpatient setting. Health Care Manag Sci. 2021;24(1):26–40.
Google Scholar
Bozkir CD, Ozmemis C, Kurbanzade AK, Balcik B, Gunes ED, Tuglular S. Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: a case study. Eur J Oper Res. 2023;304(1):276–91.
Google Scholar
Arora H, Raghu TS, Vinze A. Resource allocation for demand surge mitigation during disaster response. Decis Support Syst. 2010;50(1):304–15.
Google Scholar
Liu M, Zhang D. A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating. J Oper Res Soc. 2016;67(6):841–52.
Google Scholar
Long EF, Nohdurft E, Spinler S. Spatial resource allocation for emerging epidemics: a comparison of greedy, myopic, and dynamic policies. Manuf Service Oper Manage. 2018;20(2):181–98.
Google Scholar
Yin X, Büyüktahtakın İE. A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations. Health Care Manag Sci. 2021;24(3):1–26.
Google Scholar
Melman GJ, Parlikad AK, Cameron EAB. Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation. Health Care Manag Sci. 2021;24(2):356–74.
Google Scholar
Ma X, Zhao X, Guo P. Cope with the COVID-19 pandemic: dynamic bed allocation and patient subsidization in a public healthcare system. Int J Prod Econ. 2022;243:108320.
Google Scholar
Fadaki M, Abareshi A, Far SM, Lee PTW. Multi-period vaccine allocation model in a pandemic: a case study of COVID-19 in Australia. Transp Res E. 2022;161:102689.
Google Scholar
Jahani H, Chaleshtori AE, Khaksar SMS, Aghaie A, Sheu JB. COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia. Transp Res E. 2022;163:102749.
Google Scholar
Thul L, Powell W. Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic. Eur J Oper Res. 2023;304(1):325–38.
Google Scholar
Bekker R, Koole G, Roubos D. Flexible bed allocations for hospital wards. Health Care Manag Sci. 2017;20(4):453–66.
Google Scholar
Zhou L, Geng N, Jiang Z, Wang X. Multi-objective capacity allocation of hospital wards combining revenue and equity. Omega. 2018;81:220–33.
Google Scholar
Wang X, Gong X, Geng N, Jiang Z, Zhou L. Metamodel-based simulation optimisation for bed allocation. Int J Prod Res. 2020;58(20):6315–35.
Google Scholar
Izady N, Mohamed I. A clustered overflow configuration of inpatient beds in hospitals. Manuf Service Oper Manage. 2021;23(1):139–54.
Google Scholar
Gong X, Wang X, Zhou L, Geng N. Managing hospital inpatient beds under clustered overflow configuration. Comput Oper Res. 2022;148:106021.
Google Scholar
Bretthauer KM, Heese HS, Pun H, Coe E. Blocking in healthcare operations: a new heuristic and an application. Prod Oper Manage. 2011;20(3):375–91.
Google Scholar
Wu X, Li J, Chu CH. Modeling multi-stage healthcare systems with service interactions under blocking for bed allocation. Eur J Oper Res. 2019;278(3):927–41.
Google Scholar
Zychlinski N, Mandelbaum A, Momčilović P, Cohen I. Bed blocking in hospitals due to scarce capacity in geriatric institutions—cost minimization via fluid models. Manuf Service Oper Manage. 2020;22(2):396–411.
Google Scholar
Feng YY, Wu IC, Chen TL. Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm. Health Care Manag Sci. 2017;20(1):55–75.
Google Scholar
Chan CW, Sarhangian V, Talwai P, Gogia K. Utilizing partial flexibility to improve emergency department flow: theory and implementation. Nav Res Logist. 2022;69(8):1047–62.
Google Scholar
Ordu M, Demir E, Tofallis C, Gunal MM. A novel healthcare resource allocation decision support tool: a forecasting-simulation-optimization approach. J Oper Res Soc. 2021;72(3):485–500.
Google Scholar
Lee YH, Choi YH. Optimal cost adjustment for a selfish routing healthcare network. Health Care Manag Sci. 2020;23(4):585–604.
Google Scholar
Wang X, Zhang Z, Yang L, Zhao J. Price and capacity decisions in a telemedicine service system under government subsidy policy. Int J Prod Res. 2021;59(17):5130–43.
Google Scholar
Lasry A, Sansom SL, Hicks KA, Uzunangelov V. A model for allocating cdc’s HIV prevention resources in the united States. Health Care Manag Sci. 2011;14(1):115–24.
Google Scholar
Alistar SS, Long EF, Brandeau ML, Beck EJ. HIV epidemic control—a model for optimal allocation of prevention and treatment resources. Health Care Manag Sci. 2014;17(2):162–81.
Google Scholar
Garg L, McClean S, Meenan B, Millard P. A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system. Health Care Manag Sci. 2010;13(2):155–69.
Google Scholar
Maenhout B, Vanhoucke M. An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems. Omega. 2013;41(2):485–99.
Google Scholar
Sun L, DePuy GW, Evans GW. Multi-objective optimization models for patient allocation during a pandemic influenza outbreak. Comput Oper Res. 2014;51:350–9.
Google Scholar
Liu N, Truong VA, Wang X, Anderson BR. Integrated scheduling and capacity planning with considerations for patients’ length-of-stays. Prod Oper Manage. 2019;28(7):1735–56.
Google Scholar
Intrevado P, Verter V, Tremblay L. Patient-centric design of long-term care networks. Health Care Manag Sci. 2019;22(1):376–90.
Google Scholar
Kenan N, Diabat A. The supply chain of blood products in the wake of the COVID-19 pandemic: appointment scheduling and other restrictions. Transp Res E. 2022;159:102576.
Google Scholar
Hamdan B, Diabat A. Robust design of blood supply chains under risk of disruptions using lagrangian relaxation. Transp Res E. 2020;134:101764.
Google Scholar
Kamyabniya A, Noormohammadzadeh Z, Sauré A, Patrick J. A robust integrated logistics model for age-based multi-group platelets in disaster relief operations. Transp Res E. 2021;152:102371.
Google Scholar
Eriskin L, Karatas M, Zheng YJ. A robust multi-objective model for healthcare resource management and location planning during pandemics. Ann Oper Res. 2022 Feb;21:1–48.
link