The Australian e-Health Research Centre: enabling the health care information and communication technology revolution

David P Hansen, Phil Gurney, Gary Morgan and Bruce Barraclough
Med J Aust 2011; 194 (4): S5. || doi: 10.5694/j.1326-5377.2011.tb02933.x
Published online: 21 February 2011

In the MJA, Van Der Weyden1 called for Australians to “rediscover our courage and commitment and move health care into the new millennium” by developing a robust health information technology infrastructure. There is already activity on several fronts to achieve this aim. The National E-Health Transition Authority ( is putting in place the building blocks of an e-health infrastructure: individual patient and provider identifiers, a set of terminology standards, and standards for a shared, electronic health record. However, implementing and realising the benefits of this infrastructure will require innovation.

The CSIRO (Commonwealth Scientific and Industrial Research Organisation), as part of Australia’s National Innovation System, has a wealth of experience in developing and applying technologies in a range of sectors. Over the past 30 years, the CSIRO has developed technologies for use in the medical sciences, from early work on the use of ultrasound in medicine2 through to the innovative use of videoconferencing between emergency departments.3 All these developments have been forerunners of commercial and widely used technologies.

In 2004, the CSIRO Information and Communication Technology (ICT) Centre, together with the Queensland Government, established the E-Health Research Centre, now the Australian e-Health Research Centre (AEHRC). The AEHRC is an unincorporated joint venture between the CSIRO and the government, through Queensland Health and the Department of Employment, Economic Development and Innovation. The AEHRC gives CSIRO scientists the opportunity to work with clinicians and health service executives in the development and piloting of new health technologies, with the aim of improving patients’ experience, building a more rewarding workplace for the health workforce, and improving the efficiency of delivering health care.

The AEHRC consists of 50 researchers, software engineers and PhD students working in two main areas: information systems and biomedical imaging. Since 2004, the AEHRC has achieved critical mass research capabilities, which are now being used across a range of projects in the health system around Australia and internationally.

Research capabilities and projects

As part of the CSIRO ICT Centre, the AEHRC has access to new technologies in information processing, wireless and networking technologies, and autonomous systems. As well, the AEHRC contributes substantially to the program of the CSIRO’s Preventative Health Flagship, one of the National Research Flagships, and collaborates with scientists from across the CSIRO.

The capabilities of the AEHRC fall into four broad areas: smart methods for using medical data; advanced medical imaging technologies; clinical and health care interventions; and tools for medical skills development. We outline here the range of e-health projects undertaken by the AEHRC, and introduce the articles in this Supplement.

Smart methods for using medical data

Information is the currency of health, from patient data captured at the point of care, through to secondary data use for reporting and research and, finally, the development of clinical guidelines. The Health Data Integration (HDI) project, the first major project undertaken at the AEHRC, aimed to provide a data linking and transfer tool designed for the health environment.4 The HDI project, through the CSIRO Preventative Health Flagship, partnered with key clinicians to use linked data to examine the effectiveness of the faecal occult blood test for detecting bowel cancer,5 now a major screening program in Australia.

The HDI project spawned many new research projects to capture and analyse health and medical data. Crilly et al, taking data from three health information systems, compared the relative accuracy of manual data linkage and automated data linkage using the HDI software. The linked data are being used to investigate health service delivery outcomes.

Because multiple data dictionaries are used to capture data, the Snapper toolkit6 has been developed to allow all data items to be described with concepts from the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT), a systematically organised computer-processable collection of medical terminology. While initially developed to enable secondary data use of existing data collections, the Snapper technology also has the potential to improve primary data capture and clinical decision support (see Hansen et al). One part of the platform has also been adopted internationally for further development of SNOMED CT.7

Another project concerns the extraction of information from medical narratives. Initially, this involved extracting synoptic statements from pathology reports for the purpose of inferring a stage for patients with lung cancer when reported staging data were incomplete.8 This was done in partnership with the Queensland Cancer Control Analysis Team. Current research is examining how clinical terminologies, such as SNOMED CT, can improve this process and allow generalisation to other cancer types and, in the future, to other types of medical narratives, such as clinical notes or radiology reports, which could then be used in clinical decision-support algorithms.9

Data analysis is also a key area of research at the AEHRC. Current research includes analysis of physiological data from increasingly complex anaesthetic machines,10 and statistical analysis of administrative and clinical data.11

Advanced medical imaging technologies

With the increasing use of medical imaging for diagnosing and treating patients, new algorithms are needed to extract the maximum amount of information from the captured images, and to automate standard image segmentation tasks. The MILXview platform ( provides algorithms for the processing of medical images; these can be reused, depending on the image capture mechanism and the tissue being imaged.

Working with the CSIRO’s Preventative Health Flagship, AEHRC researchers have used the MILXview platform to analyse 200 brain images for cortical thickness and uptake of amyloid-β plaque. The images are from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing.12-14 The aim is to correlate the images with the diagnosed cognitive state of the patients over a 3-year period to develop an atlas of the brain that will allow earlier diagnosis of Alzheimer’s disease (see Ellis et al). This research has also given the AEHRC experience in dealing with clinical trials data and an opportunity to use tools developed for health and medical data in a new area. McBride et al also used data from the AIBL study of ageing to create a normative dataset and developed the Cognitive Performance Calculator, a web tool that uses the normative dataset to distinguish cognitive decline from normal age-related cognitive change.

The MILXview platform is also being used to improve radiotherapy treatment planning for prostate cancer15 and cancers of the brain. Greer et al describe an alternative treatment planning method for prostate cancer.

Tools for medical skills development

Workforce issues continue to be a challenge for a sustainable health care system. Increasingly, simulation technologies will be used for training, and perhaps accreditation, of clinical staff (see de Visser et al). Using the AEHRC’s capability in medical imaging, an advanced colonoscopy simulator has been developed in conjunction with École Polytechnique Fédérale de Lausanne, Switzerland.18

While it is often clinical skills that receive the most attention, interpersonal communication problems within the health workplace can lead to adverse patient outcomes.19 A novel research project at the AEHRC is examining interpersonal communication in multidisciplinary care meetings. Together with Griffith University (Qld) and Queensland Health, team meetings are being recorded, and interpersonal communication coded (see Harden and Locke), with the aim of better understanding what makes a successful health care team.20

Project results

Already, the projects delivered by the AEHRC for building a sustainable health care system show the value of the CSIRO’s place within the National Innovation System.

  • David P Hansen1
  • Phil Gurney2
  • Gary Morgan3
  • Bruce Barraclough4

  • Australian e-Health Research Centre, CSIRO ICT Centre, Brisbane, QLD.


Competing interests:

None identified.

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