The healthcare industry, once recognised as being a technology laggard is now in the midst of a digital transformation. They are now faced with a mass of systems some inter-connected and some disjoint each contributing different data, some of which is conflicting.
This makes it challenging for informed decisions to be made by clinicians. It also has the potential to limit deeper insights into medical diagnoses.
Thus there is a need to comprehensively understand these systems, the data they generate and how they're used by different user groups.
Depending on study level, you'll be required to undertake a variety of activities, including:
- reviewing information systems and health literature to understand the implications of these systems and the challenges faced
- proposing an integrated model for how these systems are used and their implications for data and people
- conducting empirical research (e.g., case study, surveys) to further refine the model
- developing a series of recommendations to improve how the portfolio of systems can best be leveraged.
The objective of this research is to understand the complex interplay between various user groups (e.g., patients, healthcare providers, government bodies) and the portfolio of systems available to healthcare.
The goal is to ultimately provide recommendations into how these systems are leveraged to maximise outcomes.
Skills and experience
To be considered for this research project, the following skills are necessary:
- high English proficiency
- capable at analysing and integrating large bodies of text
- knowledge of complex integrated systems (e.g. electronic medical records and enterprise systems)
- prior experience or knowledge on how to conduct case studies or survey research.
Contact the supervisor for more information.