IDEAS home Printed from https://ideas.repec.org/a/eee/oprepe/v12y2024ics2214716024000022.html
   My bibliography  Save this article

The decrease of ED patient boarding by implementing a stock management policy in hospital admissions

Author

Listed:
  • Jaén, Sebastián

Abstract

The presence of congestion is a common scenario in tertiary-level hospitals worldwide. Current research suggests that an increase in hospital bed capacity is not a long-term solution given that patient demand adapts to added capacity. Recent literature suggests the need for the implementation of a policy of inter-hospital transfers to divert patients to outpatient priority services or home care. This policy has proven to be effective in reducing ED boarding without compromising patient safety. However, determining the required number of patients to be admitted is key. The dynamic nature of hospital bed availability and discharges requires an admission process able to be in synchrony with those variations. A mismatch between patient demand and hospital admissions will result in either ED boarding or idle capacity. The purpose of this paper is to introduce a methodology to support the process of hospital admissions by providing as an input a threshold for the number of patients to be admitted. The methodology is tested using a system dynamics model that replicates one year of operations of a tertiary-level hospital. The simulations reveal the potential of the methodology to decrease the ED inpatient boarding rate as well as ED and hospital length of stay.

Suggested Citation

  • Jaén, Sebastián, 2024. "The decrease of ED patient boarding by implementing a stock management policy in hospital admissions," Operations Research Perspectives, Elsevier, vol. 12(C).
  • Handle: RePEc:eee:oprepe:v:12:y:2024:i:c:s2214716024000022
    DOI: 10.1016/j.orp.2024.100298
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214716024000022
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.orp.2024.100298?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Syed Salleh & Praveen Thokala & Alan Brennan & Ruby Hughes & Andrew Booth, 2017. "Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews," PharmacoEconomics, Springer, vol. 35(9), pages 937-949, September.
    2. P O Siebers & C M Macal & J Garnett & D Buxton & M Pidd, 2010. "Discrete-event simulation is dead, long live agent-based simulation!," Journal of Simulation, Taylor & Francis Journals, vol. 4(3), pages 204-210, September.
    3. Brailsford, Sally C. & Eldabi, Tillal & Kunc, Martin & Mustafee, Navonil & Osorio, Andres F., 2019. "Hybrid simulation modelling in operational research: A state-of-the-art review," European Journal of Operational Research, Elsevier, vol. 278(3), pages 721-737.
    4. Zoubir Boudi & Dominique Lauque & Mohamed Alsabri & Linda Östlundh & Churchill Oneyji & Anna Khalemsky & Carlos Lojo Rial & Shan W. Liu & Carlos A. Camargo Jr. & Elhadi Aburawi & Martin Moeckel & Anna, 2020. "Association between boarding in the emergency department and in-hospital mortality: A systematic review," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-23, April.
    5. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    6. S C Brailsford & P R Harper & B Patel & M Pitt, 2009. "An analysis of the academic literature on simulation and modelling in health care," Journal of Simulation, Taylor & Francis Journals, vol. 3(3), pages 130-140, September.
    7. Khadijeh Naboureh & Ehram Safari, 2016. "A Stochastic Location-Allocation Model for Specialized Services in a Multihospital System," Advances in Operations Research, Hindawi, vol. 2016, pages 1-16, February.
    8. Golmohammadi, Davood, 2016. "Predicting hospital admissions to reduce emergency department boarding," International Journal of Production Economics, Elsevier, vol. 182(C), pages 535-544.
    9. Jairo Humberto Restrepo Zea, Juan Sebastián Jaén Posada, Juan José Espinal Piedrahita, Paula Andrea Zapata Flórez & Jairo Humberto Restrepo, 2018. "Saturación en los servicios de urgencias: Análisis de cuatro hospitales de Medellín y simulación de estrategias," Publicaciones 17399, Grupo de Economía de la Salud.
    10. S C Brailsford & V A Lattimer & P Tarnaras & J C Turnbull, 2004. "Emergency and on-demand health care: modelling a large complex system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 34-42, January.
    11. J K Cochran & K Roche, 2008. "A queuing-based decision support methodology to estimate hospital inpatient bed demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1471-1482, November.
    12. Carter, Michael W., 2018. "High-fidelity whole-system patient flow modeling to assess health care transformation policiesAuthor-Name: Esensoy, Ali Vahit," European Journal of Operational Research, Elsevier, vol. 266(1), pages 221-237.
    13. Rashwan, Wael & Abo-Hamad, Waleed & Arisha, Amr, 2015. "A system dynamics view of the acute bed blockage problem in the Irish healthcare system," European Journal of Operational Research, Elsevier, vol. 247(1), pages 276-293.
    14. Maartje Zonderland & Richard Boucherie & Nelly Litvak & Carmen Vleggeert-Lankamp, 2010. "Planning and scheduling of semi-urgent surgeries," Health Care Management Science, Springer, vol. 13(3), pages 256-267, September.
    15. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    16. Amin Mahmoudian-Dehkordi & Somayeh Sadat, 2017. "Sustaining critical care: using evidence-based simulation to evaluate ICU management policies," Health Care Management Science, Springer, vol. 20(4), pages 532-547, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jaime González & Juan-Carlos Ferrer & Alejandro Cataldo & Luis Rojas, 2019. "A proactive transfer policy for critical patient flow management," Health Care Management Science, Springer, vol. 22(2), pages 287-303, June.
    2. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    4. Carter, Michael W., 2018. "High-fidelity whole-system patient flow modeling to assess health care transformation policiesAuthor-Name: Esensoy, Ali Vahit," European Journal of Operational Research, Elsevier, vol. 266(1), pages 221-237.
    5. Behrens, Doris A. & Morgan, Jennifer S. & Krczal, Eva & Harper, Paul R. & Gartner, Daniel, 2023. "Still looking in the wrong place: Literature-based evidence of why patients really attend an emergency department," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    6. Amin Mahmoudian-Dehkordi & Somayeh Sadat, 2017. "Sustaining critical care: using evidence-based simulation to evaluate ICU management policies," Health Care Management Science, Springer, vol. 20(4), pages 532-547, December.
    7. Galit B. Yom-Tov & Anat Rafaeli, 2022. "Integrating emotional load into service operations," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 565-567, April.
    8. Syed Salleh & Praveen Thokala & Alan Brennan & Ruby Hughes & Simon Dixon, 2017. "Discrete Event Simulation-Based Resource Modelling in Health Technology Assessment," PharmacoEconomics, Springer, vol. 35(10), pages 989-1006, October.
    9. Das, Saikat & Bose, Indranil & Sarkar, Uttam Kumar, 2023. "Predicting the outbreak of epidemics using a network-based approach," European Journal of Operational Research, Elsevier, vol. 309(2), pages 819-831.
    10. Thomas Vempiliyath & Maitri Thakur & Vincent Hargaden, 2021. "Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    11. Alexander Hübner & Heinrich Kuhn & Manuel Walther, 2018. "Combining clinical departments and wards in maximum-care hospitals," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 679-709, July.
    12. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2022. "Social Queues (Cues): Impact of Others’ Waiting in Line on One’s Service Time," Management Science, INFORMS, vol. 68(11), pages 7958-7976, November.
    13. Cildoz, Marta & Ibarra, Amaia & Mallor, Fermin, 2020. "Coping with stress in emergency department physicians through improved patient-flow management," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    14. André Ferreira & Ana L. Ramos & José V. Ferreira & Luís P. Ferreira, 2024. "Simulation of Hospital Waste Supply Chain in the Context of Industry 4.0—A Systematic Literature Review," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    15. Nguyen, Le Khanh Ngan & Howick, Susan & Megiddo, Itamar, 2024. "A framework for conceptualising hybrid system dynamics and agent-based simulation models," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1153-1166.
    16. Yen-Yi Feng & I-Chin Wu & Tzu-Li Chen, 2017. "Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm," Health Care Management Science, Springer, vol. 20(1), pages 55-75, March.
    17. Fanwen Meng & Jin Qi & Meilin Zhang & James Ang & Singfat Chu & Melvyn Sim, 2015. "A Robust Optimization Model for Managing Elective Admission in a Public Hospital," Operations Research, INFORMS, vol. 63(6), pages 1452-1467, December.
    18. Claire F. Brereton & Paul Jagals, 2021. "Applications of Systems Science to Understand and Manage Multiple Influences within Children’s Environmental Health in Least Developed Countries: A Causal Loop Diagram Approach," IJERPH, MDPI, vol. 18(6), pages 1-23, March.
    19. Saba Pourreza & Misagh Faezipour & Miad Faezipour, 2022. "Eye-SCOR: A Supply Chain Operations Reference-Based Framework for Smart Eye Status Monitoring Using System Dynamics Modeling," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    20. René Bekker, 2022. "Validating state-dependent queues in health care," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 505-507, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:oprepe:v:12:y:2024:i:c:s2214716024000022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/operations-research-perspectives .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.