166. Modelling for understanding and improvement of the Australian Hyperacute Pre-Hospital Stroke Care System, Part II: Hybrid simulation of regional and remote care pathways
Contributed abstract in session HB-4: Modeling and Simulation /2, stream Regular talks.
Thursday, 11:00-12:30Room: Room S3
Authors (first author is the speaker)
| 1. | HANNAH JOHNS
|
| Melbourne Medical School, University of Melbourne | |
| 2. | Dominic Italiano
|
| 3. | Leonid Churilov
|
| Melbourne Medical School, The University of Melbourne |
Abstract
Stroke is one of the most significant public health challenges in the world today and requires rapid diagnosis and treatment. Prehospital stroke care systems are complex with many stochastic elements and interrelated decisions made under uncertainty. The Australian Stroke Alliance aims to investigate modifications to prehospital stroke care to improve access to timely treatment in rural and remote Australia.
Developing a conceptual model for the Australian prehospital stroke care system provided a clear understanding of the system and identified important policy scenarios to be investigated through simulation. We focus on aeromedical services such as the Royal Flying Doctor Service (RFDS) which provides emergency healthcare and aeromedical retrieval in rural and remote Australia. Imaging is crucial for clinicians to treat stroke swiftly and appropriately, and currently it is only possible in facilities equipped with capable devices. The development of new portable imaging devices that can be incorporated into RFDS services may provide opportunity to improve this.
In this presentation we discuss how conceptual modelling informed the development of a hybrid discrete-event agent-based simulation model for the Australian prehospital stroke care system. We detail the translation of information collected from conceptual modelling into a simulation model using AnyLogic. We illustrate the use of the model for aeromedical stroke care with portable stroke imaging devices.
Keywords
- Modelling and simulation
- Emergency Medical Service
- Decision support
Status: accepted
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