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How can operational research make a real difference in healthcare? Challenges of implementation

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  • Carter, Michael W.
  • Busby, Carolyn R.

Abstract

This paper is based on the keynote address given by the paper's first author at EURO 2021. We draw on our experience over more than three decades to define the critical challenges of healthcare implementation. We do not address issues pertaining to technical quality of a solution. Rather, we focus on five general characteristics of the problem that should be carefully considered for any healthcare project that requires implementation. The problem needs an internal Champion; there should be a current Critical Issue; one must understand and adapt to the Cultural dynamics of the organization; appropriate Data exists; and we need to manage Expectations. We illustrate each with examples of our successes, failures, and mixed results. Finally, we summarize what short and long-term steps we believe the operational research community can take that will lead to improvement in each of these areas.

Suggested Citation

  • Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    • Handle: RePEc:eee:ejores:v:306:y:2023:i:3:p:1059-1068
    DOI: 10.1016/j.ejor.2022.04.022
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    1. Sonia A Vanderby & Michael W Carter & Tim Latham & Chris Feindel, 2014. "Modelling the future of the Canadian cardiac surgery workforce using system dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(9), pages 1325-1335, September.
    2. Mohsen Jahangirian & Simon J E Taylor & Julie Eatock & Lampros K Stergioulas & Peter M Taylor, 2015. "Causal study of low stakeholder engagement in healthcare simulation projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(3), pages 369-379, March.
    3. P R Harper & M A Pitt, 2004. "On the challenges of healthcare modelling and a proposed project life cycle for successful implementation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 657-661, June.
    4. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    5. M M Günal & M Pidd, 2010. "Discrete event simulation for performance modelling in health care: a review of the literature," Journal of Simulation, Taylor & Francis Journals, vol. 4(1), pages 42-51, March.
    6. J Bowers & M Ghattas & G Mould, 2012. "Exploring alternative routes to realising the benefits of simulation in healthcare," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(10), pages 1457-1466, October.
    7. T Eldabi & R J Paul & T Young, 2007. "Simulation modelling in healthcare: reviewing legacies and investigating futures," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 262-270, February.
    8. 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.
    9. S C Brailsford & T B Bolt & G Bucci & T M Chaussalet & N A Connell & P R Harper & J H Klein & M Pitt & M Taylor, 2013. "Overcoming the barriers: a qualitative study of simulation adoption in the NHS," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 157-168, February.
    10. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    11. Lagergren, Marten, 1998. "What is the role and contribution of models to management and research in the health services? A view from Europe," European Journal of Operational Research, Elsevier, vol. 105(2), pages 257-266, March.
    12. Anna Graber-Naidich & Michael W Carter & Vedat Verter, 2015. "Primary care network development: the regulator’s perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(9), pages 1519-1532, September.
    13. S Robinson, 2001. "Soft with a hard centre: discrete-event simulation in facilitation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 905-915, August.
    14. Peter J H Hulshof & Nikky Kortbeek & Richard J Boucherie & Erwin W Hans & Piet J M Bakker, 2012. "Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS," Health Systems, Taylor & Francis Journals, vol. 1(2), pages 129-175, December.
    15. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
    16. Antuela A Tako & Stewart Robinson, 2015. "Is simulation in health different?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(4), pages 602-614, April.
    17. Graber-Naidich, Anna & Carter, Michael W. & Verter, Vedat, 2017. "Restructuring the resident training system for improving the equity of access to primary care," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1143-1155.
    18. 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.
    19. K Katsaliaki & N Mustafee, 2011. "Applications of simulation within the healthcare context," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1431-1451, August.
    20. Robert W. Klein & Robert S. Dittus & Stephen D. Roberts & James R. Wilson, 1993. "Simulation Modeling and Health-care Decision Making," Medical Decision Making, , vol. 13(4), pages 347-354, December.
    21. Howell, Jane M. & Shea, Christine M. & Higgins, Christopher A., 2005. "Champions of product innovations: defining, developing, and validating a measure of champion behavior," Journal of Business Venturing, Elsevier, vol. 20(5), pages 641-661, September.
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    OR in health services; Implementation;

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