Clinical informatics

The Clinical Informatics group brings together a team of multi-disciplinary experts from the Centre’s leading research areas of telemedicine and telehealth, health economics, behavioural science and biostatistics. This group leads research projects that will improve health services for better health outcomes, by focusing on optimal use of Queensland’s state-wide integrated electronic medical record (ieMR).

The ieMR can be used for ongoing monitoring and live feed of patient data, allowing optimisation of workflows and health services delivery. However the data is often complex, in bundles of care and needs expert extraction and analyses to fulfil its potential.

The Clinical Informatics program collaborates with the following partners:

  • UQ School of Information Technology and Electrical Engineering
  • Clinical Excellence Queensland, Queensland Health
  • Georgia Institute of Technology

The University of Queensland hosts a network of world leading Digital Health experts and research groups in various clinical, consumer health, technological, business and economic domains. With a reputation for research excellence with proven success in health innovation, we are well equipped to deliver impactful research together with industry and academic partners. Visit the Digital Health at UQ homepage to explore more.

  • Professor Monika Janda

    Professor in Behavioural Science
    Centre for Health Services Research
    Behavioural Science, Health Informatics
  • Dr Ronald Dendere

    Research Fellow-Health Informatics
    Centre for Health Services Research
    Health Informatics
  • Dr Murray Hargrave

    Research Development Manager
    Centre for Health Services Research
    Digital Health
    Research Development Manager
    Centre for Health Services Research
  • Professor Len Gray

    Director UQ CHSR
    Centre for Health Services Research
    Ageing & Geriatrics, Telehealth (COH)

Working under the leadership of Professor Len Gray, the Centre’s external partners on this program include the following renowned national and international Clinical Informatics experts:

  • A/Prof Clair Sullivan – Chief Digital Health Officer, Metro North Hospital and Health Service, QLD

Co-Director, Office of the Chief Clinical Information Officer, Clinical Excellence Division, Queensland Health

  • Dr. Andrew Staib – Deputy Director, Emergency Medicine, Princess Alexandra Hospital

Co-Director, Office of the Chief Clinical Information Officer, Clinical Excellence Division, Queensland Health

  • Dr. Mark Braunstein – Associate Director, Georgia Tech Health Systems Institute, GA, USA

Professor of the Practice, Georgia Tech College of Computing, School of Interactive Computing, GA, USA

  • Dr Anthony Russell – Director, Diabetes and Endocrinology Department, Princess Alexandra Hospital.

Current and planned research under development include:

  • Using the ieMR to improve management of type 2 diabetes mellitus (T2DM).
  • Integrating a platform into the ieMR for running clinical trials and health economic evaluation.
  • AI-enabled data analytics.
  • To build and integrate into the ieMR mobile health and telehealth applications.
  • Addressing efficient data entry into ieMR.

These projects will enable more efficient recruitment for and running of clinical trials, make rich data available for health economic evaluation and research purposes for the ultimate benefit of patients.

Enhancing electronic medical records

In the near future, all public hospitals affiliated with the Brisbane Diamantina Health Partners (BDHP) will share access to the Queensland Health integrated Electronic Medical Record (ieMR). The Queensland Health ieMR, Australia’s largest, contains an extensive and rich repository of information that could be used to facilitate clinical practice improvement and clinical and health services research.  However, it is extremely difficult and labour intensive to access this data in order to use it for these purposes. 

This project aims to develop a new, efficient capability for data extraction from the ieMR. This involves compiling a universal data dictionary of all relevant fields in the ieMR back-end, developing of artificial intelligence techniques to extract semi- and unstructured data, mapping extracted data to established terminologies, and developing functionality to enable the data model to be searched using natural language querying.

The outputs of this project will support (a) health service evaluation, including practice and quality improvement, spanning individual departments to state-wide evaluations, and (b) research such as observational cohort studies, phenotyping for linkage studies and cohort identification and outcome ascertainment for interventional studies.

This is a multidisciplinary program involving informaticians, health services researchers, clinicians, data and computer scientists. The project is led by Associate Professor Clair Sullivan and funded by the BDHP under the Medical Research Future Fund Rapid Applied Research Translation Program.