HDR Scholarship - Development of a predictive and diagnostic model of the health care service supply chain

Excellent coordination and relations with suppliers and customers are essential in acquiring external resources in a timely fashion and in reducing uncertainties in the business operation. In the health care sector, there are several influencing factors involving in the service supply chain. Extensive research has been done on understanding how the various factors in the value chain contribute to the operational performance of the health care service system. Optimal management of the informatics contributes not only to lower operational cost but also improves performance efficiency, medical service and as well as patients' satisfaction. The studies are mainly focusing on the operational processes or supply chain, but merely on the entire value chain in which multiple stakeholders are concerned. This research specifically involves the informatics within the health care sector that affect the predictive and diagnostics model whilst utilising social big data and machine learning techniques.

To be eligible you must:

• be a domestic candidate (domestic includes candidates with Australian Citizenship, Australian Permanent Residency or New Zealand Citizenship).
• meet Deakin's PhD entry requirements
• be enrolling full time and hold an honours degree (first class) or an equivalent standard master's degree with a substantial research component.

Please refer to the research degree entry pathways page for further information.

Additional desirable criteria include:

• background and expertise in data science and artificial intelligence.