Hybrid simulation for modelling healthcare-associated infections : promising but challenging

Nguyen, Le Khanh Ngan and Megiddo, Itamar and Howick, Susan (2020) Hybrid simulation for modelling healthcare-associated infections : promising but challenging. Clinical Infectious Diseases. ISSN 1058-4838 (https://doi.org/10.1093/cid/ciaa1276)

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Abstract

Healthcare-Associated Infections (HAIs) are a major public health problem as they pose a serious risk for patients and providers, increasing morbidity, mortality, and length of stay as well as costs to patients and the health system. Prevention and control of HAIs has, therefore, become a priority for most healthcare systems. Systems simulation models have provided insights into the dynamics of HAIs and help to evaluate the effect of infection control interventions. However, as each systems simulation modeling method has strengths and limitations, combining these methods in hybrid models can offer a better tool to gain complementary views on, and deeper insights into, HAIs. Hybrid models can, therefore, assist decision-making at different levels of management, and provide a balance between simulation performance and result accuracy. This paper discusses these benefits in more depth but also highlights some challenges associated with the use of hybrid simulation models for modeling HAIs.

ORCID iDs

Nguyen, Le Khanh Ngan ORCID logoORCID: https://orcid.org/0000-0002-6742-6896, Megiddo, Itamar ORCID logoORCID: https://orcid.org/0000-0001-8391-6660 and Howick, Susan ORCID logoORCID: https://orcid.org/0000-0002-0796-7981;
  • Item type:Article
    ID code:73812
    Dates:
    Date
    Event
    31 August 2020
    Published
    31 August 2020
    Published Online
    19 August 2020
    Accepted
    Keywords:healthcare associated infections, hybrid simulations, simulation modelling, decision making, infectious disease prevention, Public aspects of medicine, Infectious Diseases, Epidemiology, Modelling and Simulation
    Subjects:Medicine > Public aspects of medicine
    Department:Strathclyde Business School > Management Science
    Depositing user: Pure Administrator
    Date deposited:15 Sep 2020 09:57
    Last modified:29 Nov 2022 02:01
    URI:https://strathprints.strath.ac.uk/id/eprint/73812
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