IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v68y2017i5d10.1057_s41274-016-0029-y.html
   My bibliography  Save this article

Enabling better management of patients: discrete event simulation combined with the STAR approach

Author

Listed:
  • Eren Demir

    (University of Hertfordshire)

  • David Southern

    (Pathway Communications Ltd)

Abstract

Squeezed budgets and funding cuts are expected to become a feature of the healthcare landscape in the future, forcing decision makers such as service managers, clinicians and commissioners to find effective ways of allocating scarce resources. This paper discusses the development of a decision support toolkit (DST) that facilitates the improvement of services by identifying cost savings and efficiencies within the pathway of care. With the help of National Health Service and commercial experts, we developed a discrete event simulation model for deep vein thrombosis (DVT) patients and adapted the socio-technical allocation of resources (STAR) approach to answer crucial questions like what sort of interventions should we spend our money on? Where will we get the most value for our investment? How will we explain the choices we have made? The DST enables users to model their own services by working with the DST interface allowing users to specify local DVT services. They can input local estimates, or data of service demands and capacities, thus creating a baseline discrete event simulation model. The user can then compare the baseline with potential changes in the patient pathway in the safety of a virtual environment. By making such changes key decision makers can easily understand the impact on activity, cost, staffing levels, skill-mix, utilisation of resources and, more importantly, it allows them to find the interventions that have the highest benefit to patients and provide best value for money.

Suggested Citation

  • Eren Demir & David Southern, 2017. "Enabling better management of patients: discrete event simulation combined with the STAR approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 577-590, May.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:5:d:10.1057_s41274-016-0029-y
    DOI: 10.1057/s41274-016-0029-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41274-016-0029-y
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41274-016-0029-y?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. Ataru Igarashi & Rei Goto & Kiyomi Suwa & Reiko Yoshikawa & Alexandra J. Ward & Jörgen Moller, 2016. "Cost-Effectiveness Analysis of Smoking Cessation Interventions in Japan Using a Discrete-Event Simulation," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 77-87, February.
    2. Eren Demir & Christos Vasilakis & Reda Lebcir & David Southern, 2015. "A simulation-based decision support tool for informing the management of patients with Parkinson’s disease," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7238-7251, December.
    3. Hideki Higashi & Jan J Barendregt, 2011. "Cost-Effectiveness of Total Hip and Knee Replacements for the Australian Population with Osteoarthritis: Discrete-Event Simulation Model," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-11, September.
    4. James E. Stahl & David Rattner & Richard Wiklund & Jessica Lester & Molly Beinfeld & G. Scott Gazelle, 2004. "Reorganizing the System of Care Surrounding Laparoscopic Surgery: A Cost-Effectiveness Analysis Using Discrete-Event Simulation," Medical Decision Making, , vol. 24(5), pages 461-471, October.
    5. H Pilgrim & J Chilcott, 2008. "Assessment of a 7-day turn-around for the reporting of cervical smear results using discrete event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 902-910, July.
    6. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    7. 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.
    8. Airoldi, Mara & Morton, Alec & Bevan, Gwyn & Smith, Jennifer, 2014. "STAR — people-powered prioritization: a 21st-century solution to allocation headaches," LSE Research Online Documents on Economics 51299, London School of Economics and Political Science, LSE Library.
    9. Denis Getsios & Jenő Marton & Nikhil Revankar & Alexandra Ward & Richard Willke & Dale Rublee & K. Ishak & James Xenakis, 2013. "Smoking Cessation Treatment and Outcomes Patterns Simulation: A New Framework for Evaluating the Potential Health and Economic Impact of Smoking Cessation Interventions," PharmacoEconomics, Springer, vol. 31(9), pages 767-780, September.
    10. Thomas Rohleder & Peter Lewkonia & Diane Bischak & Paul Duffy & Rosa Hendijani, 2011. "Using simulation modeling to improve patient flow at an outpatient orthopedic clinic," Health Care Management Science, Springer, vol. 14(2), pages 135-145, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.

    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. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.
    2. Thomas Rohleder & Diane Bischak & Leland Baskin, 2007. "Modeling patient service centers with simulation and system dynamics," Health Care Management Science, Springer, vol. 10(1), pages 1-12, February.
    3. Reda Lebcir & Usame Yakutcan & Eren Demir, 2022. "A decision support tool with health economic modelling for better management of DVT patients," Health Economics Review, Springer, vol. 12(1), pages 1-16, December.
    4. Ramwadhdoebe, Sabrina & Buskens, Erik & Sakkers, Ralph J.B. & Stahl, James E., 2009. "A tutorial on discrete-event simulation for health policy design and decision making: Optimizing pediatric ultrasound screening for hip dysplasia as an illustration," Health Policy, Elsevier, vol. 93(2-3), pages 143-150, December.
    5. Heß, Michael (Ed.) & Schlieter, Hannes (Ed.), 2014. "Modellierung im Gesundheitswesen: Tagungsband des Workshops im Rahmen der Modellierung 2014," ICB Research Reports 57, University Duisburg-Essen, Institute for Computer Science and Business Information Systems (ICB).
    6. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    7. Bernhard Ultsch & Oliver Damm & Philippe Beutels & Joke Bilcke & Bernd Brüggenjürgen & Andreas Gerber-Grote & Wolfgang Greiner & Germaine Hanquet & Raymond Hutubessy & Mark Jit & Mirjam Knol & Rüdiger, 2016. "Methods for Health Economic Evaluation of Vaccines and Immunization Decision Frameworks: A Consensus Framework from a European Vaccine Economics Community," PharmacoEconomics, Springer, vol. 34(3), pages 227-244, March.
    8. Hossein Haji Ali Afzali & Laura Bojke & Jonathan Karnon, 2018. "Model Structuring for Economic Evaluations of New Health Technologies," PharmacoEconomics, Springer, vol. 36(11), pages 1309-1319, November.
    9. Becky Pennington & Alex Filby & Lesley Owen & Matthew Taylor, 2018. "Smoking Cessation: A Comparison of Two Model Structures," PharmacoEconomics, Springer, vol. 36(9), pages 1101-1112, September.
    10. Gemma E. Shields & Mark Wilberforce & Paul Clarkson & Tracey Farragher & Arpana Verma & Linda M. Davies, 2022. "Factors Limiting Subgroup Analysis in Cost-Effectiveness Analysis and a Call for Transparency," PharmacoEconomics, Springer, vol. 40(2), pages 149-156, February.
    11. Mielczarek, Bożena, 2014. "Simulation modelling for contracting hospital emergency services at the regional level," European Journal of Operational Research, Elsevier, vol. 235(1), pages 287-299.
    12. Fernando Alarid-Escudero & Richard F. MacLehose & Yadira Peralta & Karen M. Kuntz & Eva A. Enns, 2018. "Nonidentifiability in Model Calibration and Implications for Medical Decision Making," Medical Decision Making, , vol. 38(7), pages 810-821, October.
    13. Koen Degeling & Maarten J. IJzerman & Mariel S. Lavieri & Mark Strong & Hendrik Koffijberg, 2020. "Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process," Medical Decision Making, , vol. 40(3), pages 348-363, April.
    14. Peter J. Dodd & Jeff J. Pennington & Liza Bronner Murrison & David W. Dowdy, 2018. "Simple Inclusion of Complex Diagnostic Algorithms in Infectious Disease Models for Economic Evaluation," Medical Decision Making, , vol. 38(8), pages 930-941, November.
    15. Brian Zoll & Pratik J. Parikh & Jennie Gallimore & Stephen Harrell & Brian Burke, 2015. "Impact of Diabetes E-Consults on Outpatient Clinic Workflow," Medical Decision Making, , vol. 35(6), pages 745-757, August.
    16. Jonathan Karnon & James Stahl & Alan Brennan & J. Jaime Caro & Javier Mar & Jörgen Möller, 2012. "Modeling Using Discrete Event Simulation," Medical Decision Making, , vol. 32(5), pages 701-711, September.
    17. S C Brailsford & P R Harper, 2007. "Editorial," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 141-144, February.
    18. Annika Hoyer & Sophie Kaufmann & Ralph Brinks, 2019. "Risk factors in the illness-death model: Simulation study and the partial differential equation about incidence and prevalence," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-10, December.
    19. Olivier Ethgen & Baudouin Standaert, 2012. "Population–versus Cohort–Based Modelling Approaches," PharmacoEconomics, Springer, vol. 30(3), pages 171-181, March.
    20. Stuart J. Wright & William G. Newman & Katherine Payne, 2019. "Accounting for Capacity Constraints in Economic Evaluations of Precision Medicine: A Systematic Review," PharmacoEconomics, Springer, vol. 37(8), pages 1011-1027, August.

    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:pal:jorsoc:v:68:y:2017:i:5:d:10.1057_s41274-016-0029-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.