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.
Original language | English |
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Pages (from-to) | 139-154 |
Number of pages | 16 |
Journal | Simulation Modelling Practice and Theory |
Volume | 86 |
DOIs | |
Publication status | Published - 1 Aug 2018 |
Keywords
- Conceptual modelling
- Cytology
- Discrete-event simulation
- Workflow
ASJC Scopus subject areas
- Software
- Modelling and Simulation
- Hardware and Architecture