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Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score

Published: 11 December 2016 Publication History
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  • Abstract

    This extended abstract provides an overview of the development of a simulation model to be used in the assistance of triaging patients into the Hospital Internal Medicine (HIM) Department at The Mayo Clinic in Rochester, MN in an effort to balance workload among the department services. The main contribution of this work is the development of a score that measures provider workload more accurately. Delphi surveys, conjoint analysis, and optimization methods were used in the creation of this score and it is believed to better represent provider workload. Preliminary results were based on the proportion of time of a month that each service was at or above "maximum utilization", which is how workload is currently viewed at an instance. A simulation model built in SIMIO 8 yielded a 12.1% decrease in the proportion of time that a service was at or above their "max utilization" on average, while also seeing a decrease in the average difference among these proportions by 8.3% (better balance among all services).
    1. Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score

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        cover image ACM Conferences
        WSC '16: Proceedings of the 2016 Winter Simulation Conference
        December 2016
        3974 pages
        ISBN:9781509044849

        Sponsors

        In-Cooperation

        • SAS
        • AnyLogic: The AnyLogic Company
        • Palgrave: Palgrave Macmillan
        • FlexSim: FlexSim Software Products, Inc.
        • ASA: American Statistical Association
        • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
        • Simio: Simio LLC
        • ODU: Old Dominion University
        • ASIM: Arbeitsgemeinschaft Simulation
        • ExtendSim: ExtendSim
        • NIST: National Institute of Standards & Technology
        • Amazon Simulations: Amazon Simulations

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        IEEE Press

        Publication History

        Published: 11 December 2016

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        WSC '16
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        WSC '16: Winter Simulation Conference
        December 11 - 14, 2016
        Virginia, Arlington

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        Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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