Implementing complex task allocation in a cytology lab via HCCM using Flexsim HC

Kanokporn Pongjetanapong, Michael O'Sullivan, Cameron Walker, Nikolaus Furian

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Abstract

Healthcare processes contain various complexities which make them difficult to model. These include: multiple-participant activities with flexible resourcing; dynamic task priorities; hierarchical skill levels of resources; and regular task pre-emption. Deciding which task in a care pathway a clinician next performs directly impacts on the performance of the healthcare process. The Hierarchical Control Conceptual Modeling (HCCM) approach has recently been proposed by Furian et al. [1] to provide a conceptual modelling framework purpose-built to explicitly model the decision-making structure in complex systems. Existing software packages for Discrete Event Simulation (DES) have been designed for conceptual models that consist of systems of queues. In particular, the lack of a module specifically designed to account for HCCM's control structure makes the implementation of a HCCM conceptual model in an off-the-shelf simulation package problematic. This research applies the HCCM framework to a real-world Cytology lab (with complex decision making for task allocations) and demonstrates how the resultant conceptual model can be implemented within an off-the-shelf healthcare simulation package (Flexsim HC). The primary goal is a proof-of-concept that the control mechanism, particular to the HCCM framework, can be implemented using such a simulation package.

Originalspracheenglisch
Seiten (von - bis)139-154
Seitenumfang16
FachzeitschriftSimulation modelling practice and theory
Jahrgang86
DOIs
PublikationsstatusVeröffentlicht - 1 Aug 2018

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    ASJC Scopus subject areas

    • Software
    • !!Modelling and Simulation
    • !!Hardware and Architecture

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