167. Modelling for understanding and improvement of the Australian Hyperacute Pre-Hospital Stroke Care System, Part I: Design and validation of a conceptual model
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. | Dominic Italiano
|
| 2. | HANNAH JOHNS
|
| Melbourne Medical School, University of Melbourne | |
| 3. | Leonid Churilov
|
| Melbourne Medical School, The University of Melbourne |
Abstract
Stroke is a life-threatening illness where swift diagnosis and treatment is essential. Prehospital stroke care is challenging in Australia due to the large geographical distances and diversity of organisations involved in the delivery of care. This includes ground and air ambulances, mobile stroke units and remote stroke retrieval, each with its own structure and processes. The Australian Stroke Alliance aims to improve access to stroke care in regional and remote Australia. It employs simulation modelling to understand the consequences that specific policy decisions will have on the overall system.
To develop a simulation model, we employed value-focused process engineering (VFPE) to build a conceptual model that will underpin it. VFPE provides an understanding of the relationship between components or processes of a system by linking the event-driven process chain method with value-focused thinking. It allowed us to identify structures, understand processes and reflect interactions between entities within the system.
In this presentation we describe the process of applying VFPE to develop and validate a conceptual model for the Australian prehospital stroke care system. We present the outcomes of this including: the structures to be represented in the simulation model; workflow models representing the individual processes of the system; and key research questions and scenarios for investigation. This provided solid foundation for developing a hybrid simulation model
Keywords
- Modelling and simulation
- Emergency Medical Service
- Decision support
Status: accepted
Back to the list of papers