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Research projects in Information Technology

Displaying 1 - 10 of 13 projects.


Digital Health to support Indigenous Health and Wellbeing

A PhD scholarship is available as part of an exciting research collaboration between the Faculty of Information Technology (FIT), the Faculty of Medicine, Nursing and Health Sciences (MNHS) and indigenous communities in rural Victoria.

Supervisor: Chris Bain

Interoperability (using FHIR) in cutting-edge medical software systems

Critical work to the future of healthcare ... exploring the role of #FHIR in interoperability and #datascience

Also allowing exploration and usage of the #SMART on #FHIR software paradigm 

Involves working with various real world health services and health IT partners 

#digitalhealth #health #EMR #hospital #software

Supervisor: Chris Bain

Explainable and Robust Deep Causal Models for AI assisted Clinical Pathology

We are living in the era of the 4th industrial revolution through the use of cyber physical systems. Data Science has revolutionised the way we do things, including our practice in healthcare. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical laboratory testing environment for improvement of patient care is under-utilized. 

Supervisor: Dr Lizhen Qu

Privacy-Preserving Machine Learning

With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability to a broad class of critical domains: the data owner is willing to disclose the data to the model builder/holder.

Context-aware physical activity recognition and monitoring

The project will focus on developing a context-aware physical activity recognition and monitoring. The project aims to incorporate context-awareness into the physical activity recognition. The contextual data will be collected from the user's mobile phone's sensors, external sensors and wearables (if available) and public web APIs. The outcomes could be used in a number of healthcare applications to assist patients with diabetes, low back pain, or other chronic diseases for self-management of chronic pain and providing them with personalised, context-aware recommendations.

Image analysis in forensic pathology

We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses  / image analysis, across multiple data types found at VIFM. These include atomic data, text data and text documents, medical images, clinical photographs and digital pathology slides. 

This research has high potential to support our IT for social good agenda in addition to its technical attractiveness. 

Supervisor: Chris Bain

Digital Health as a means to explore inequities in health and wellbeing

This project could suit a candidate with a background in the socio-technical area of IM or IT, or could be tackled from a range of technical perspectives.

One example of the kind of work a suitable candidate could undertake is in support of the NEED collaboration - which at the Australian end is being run out of FIT. In the NEED setting, questions of inequity in healthcare and wellness act as the starting point for considering digital health opportunities and solutions. 

Supervisor: Chris Bain

Expansion of FHIR Standard and Use (eg - native FHIR analytics)

This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof).

One potential area of exploration for the candidate is extending the work on Pathling (developed by the CSIRO).

Another area demanding further investigation and research is that of dynamic and extensible clinical decision support through CDS Hooks.

#digitalhealth #health #FHIR #interoperability #software #EMR #CDS

Supervisor: Chris Bain

Local (Australian) Tailoring / Expansion of Synthea Software Stack

This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof).

The primary aim of this work is the extend and localise (to the Australian context) the open source Synthea stack. #Synthea is a very valuable tool in health IT R and D and in health data research.

#digitalhealth #FHIR #synthetic #healthdata #data #hospital 

 

Supervisor: Chris Bain

Defining Network Quality of Service Metrics for Medical Applications

Networked digital diagnostic, monitoring and patient treatment tools permeate medical practice. A plethora of telemedicine, national and other eHealth records, injury assessment, patient-specific devices, hospital theatre equipment tools have resulted in a multi-billion dollar industry worldwide.  Research suggests the application of these tools  to healthcare can improve clinical workflows and patient care outcomes.

Supervisor: Dr Carlo Kopp