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On the challenges of healthcare modelling and a proposed project life cycle for successful implementation

Author

Listed:
  • P R Harper

    (University of Southampton)

  • M A Pitt

    (University of Exeter)

Abstract

OR methods and tools are being increasingly applied within the health services domain to support objective decision-making for the effective and efficient provision of resources. Healthcare modelling, however, is beset with many challenges and this paper examines a number of issues that define the primary challenges faced by the modeller in this field. It is fair to say that their resolution determines the likely success or failure of healthcare modelling in general. Working with a number of participating health service organizations, a proposed framework towards successful implementation has evolved and is presented in this paper

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:6:d:10.1057_palgrave.jors.2601719
    DOI: 10.1057/palgrave.jors.2601719
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    Citations

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    Cited by:

    1. P R Harper & N H Powell & J E Williams, 2010. "Modelling the size and skill-mix of hospital nursing teams," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 768-779, May.
    2. G Royston, 2009. "One hundred years of Operational Research in Health—UK 1948–2048," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 169-179, May.
    3. 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.
    4. T Sloan, 2010. "First, do no harm? A framework for evaluating new versus reprocessed medical devices," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 191-201, February.
    5. Mohsen Jahangirian & Simon J E Taylor & Terry Young & Stewart Robinson, 2017. "Key performance indicators for successful simulation projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 747-765, July.
    6. 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.
    7. Tako, Antuela A. & Kotiadis, Kathy, 2015. "PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare," European Journal of Operational Research, Elsevier, vol. 244(2), pages 555-564.
    8. N C Proudlove & S Black & A Fletcher, 2007. "OR and the challenge to improve the NHS: modelling for insight and improvement in in-patient flows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 145-158, February.
    9. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.

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