Modelling Health Emergency: An efficient approach in operating via simulation

Summary

The project will focus on implementing Discrete Event Simulation and Statistical Analysis to mimic the current Emergency Department (ED) system within NSW Health. This developed model will offer efficient use of resources and processes to improve the timeliness, safety and quality of emergency care. The proposed model will be a generic model, covering all sections within the ED, easy to use through a dashboard, Excel input sheets, a “caned” Excel analysis and implementation of “what if” scenario to achieve efficient use of available resources and processes to improve the timeliness, safety and quality of emergency care. Supervisors are Shelton Peiris and Nethal Jajo.

Supervisor(s)

Associate Professor Shelton Peiris, Dr Nethal Jajo

Research Location

School of Mathematics and Statistics

Program Type

Masters/PHD

Synopsis

In collaboration with a NSW ED provider, the project will provide professional analysis of the ED system and suggest the required dynamic model to support strategic decision-making in providing an efficient health service, in the right time with the optimal amount of resources. The project will initially delivered a Continuum Model, that need to be verified by a field expertise from the nominated NSW ED provider, then the model development will proceed with dummy data hoping the real data to be provided by the nominated provider. The final stage of the project will includes the model execution, model verification (based on field expertise requirement of the accuracy level) and rapping up the project by providing both user manual and developer manual of the model. The training of model execution will be provided by a post-graduate student (under supervision) to the modelling staff at the nominated provider for a period of no more than 3 months. Any major changes to the model will require an establishment of a new project.

Additional Information

HDR Inherent Requirements

In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:

- Confidential disclosure and registration of a disability that may hinder your performance in your degree;
- Confidential disclosure of a pre-existing or current medical condition that may hinder your performance in your degree (e.g. heart disease, pace-maker, significant immune suppression, diabetes, vertigo, etc.);
- Ability to perform independently and/or with minimal supervision;
- Ability to undertake certain physical tasks (e.g. heavy lifting);
- Ability to undertake observatory, sensory and communication tasks;
- Ability to spend time at remote sites (e.g. One Tree Island, Narrabri and Camden);
- Ability to work in confined spaces or at heights;
- Ability to operate heavy machinery (e.g. farming equipment);
- Hold or acquire an Australian driver’s licence;
- Hold a current scuba diving license;
- Hold a current Working with Children Check;
- Meet initial and ongoing immunisation requirements (e.g. Q-Fever, Vaccinia virus, Hepatitis, etc.)

You must consult with your nominated supervisor regarding any identified inherent requirements before completing your application.

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Keywords

Efficient, model, Simulation, safety, quality, Discrete event simulation

Opportunity ID

The opportunity ID for this research opportunity is: 2244

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