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  1. Statistical method to evaluate management strategies to decrease variability in Operating room utilization : Application of linear statistical modeling and Monte Carlo simulation to Operating room management.

    Article - En anglais

    Background 

    Operating room (OR) managers seeking to maximize labor productivity in their OR suite may attempt to reduce day-to-day variability in hours of OR time for which there are staff but for which there are no cases ( « underutilized time »). The authors developed a method to analyze data from surgical services information systems to evaluate which management interventions can most effectively decrease variability in underutilized time.

    Methods 

    The method uses seven summary statistics of daily workload in a surgical suite : daily allocated hours of OR time, estimated hours of elective cases, actual hours of elective cases, estimated hours of add-on cases, actual hours of add-on cases, hours of turnover time, and hours of underutilized time.

    Simultaneous linear statistical equations (a structural equation model) specify the relationship among these variables.

    Estimated coefficients are used in Monte Carlo simulations.

    Results 

    The authors applied the analysis they developed to two OR suites : a tertiary care hospital's suite and an ambulatory surgery center.

    At both suites, the most effective strategy to decrease variability in underutilized OR time was to choose optimally the day on which to do each elective case so as to best fill the allocated hours. (...)

    Mots-clés Pascal : Bloc opératoire, Organisation, Utilisation, Chirurgie, Homme, Modélisation, Coût, Economie santé

    Mots-clés Pascal anglais : Operating room, Organization, Use, Surgery, Human, Modeling, Costs, Health economy

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 99-0386868

    Code Inist : 002B30A04B. Création : 22/03/2000.