The CRCSI Health Program brings together expertise in spatial and health sciences to form collaborative partnerships with research institutions, government agencies, health service providers and clinicians, the private sector and the community. We exist to improve efficiency of health resource management and increase knowledge of disease cause through spatial technology. We can assist your organisation through a number of services and opportunities.
To explore how we can work together to apply spatial technologies please contact Paula Fievez.
Access to spatial information enables effective and economic policy development, planning and decision-making through insight into diverse influences that include the environment, access to services, lifestyle and socioeconomic factors considered in a common framework.
Click here for the Spatial Health Analytic and Visualisation Tools brochure.
Spatial Information has long been used in the Health sector to pinpoint areas of risk for specific diseases. This information helps identify contributing factors to the disease and populations at risk.
The challenge today is to ensure that the significant progress in spatial information and technologies is used to its full potential.
All stages of new policy development and decision-making require timely access to information. Spatial information allows diverse risk factors, such as smoking, physical activity and the wider environment, to be considered in a common framework.
The CRCSI Health Program brings together expertise in spatial and health sciences to form collaborative partnerships with research institutions, government agencies, health service providers and clinicians, the private sector and the community. We exist to improve efficiency of health resource management and increase knowledge of disease cause through spatial technology.
We can assist your organisation through:
To explore how we could assist your organisation to apply our spatial technology to solve your needs please contact our Health Program Manager, Paula Fievez.
Professor Tarun Weeramanthri, Department of Health WA and CRCSI Health Program Board Chair
Professor Peter Baade, Cancer Council Queensland
Rob Freeth, Independent Consultant
Professor Kerrie Mengersen, Queensland University of Technology
Dr Marcus Tan, HealthEngine
Melanie Taylor, Department of Social Services
Peter Somerford, Department of Health WA
Tony Wheeler, Akuna Consulting
Professor Clive Sabel, University of Bristol, United Kingdom
Dr Ori Gudes, Curtin University of Technology
Dr David McMeekin, Curtin University of Technology
Health Program Manager
Qld health regions This research Project investigates the best way to represent the spatial disparity of diseases, to enable decision makers the best access to localised spatial health data. The initial focus of the Project is on...
PROJECT AIM Simon and Andrew at Brisbane2012 The project will build a data service providing access to the Department of Health WA[http://www.health.wa.gov.au/] Health and Wellbeing Surveillance System data collection; re-implement an existing epidemiological data analysis service (HealthTracks) using open source technologies...
This research will test whether there is a spatial relationship between the extent of physical damage from natural disasters and non-injury psycho-social stress related health outcomes that while not acute, may significantly impact...
This research will guide policy formation on improved insight into healthcare management based on accurate, relevant, high quality evidence.
Obesity is now considered to be the number one chronic health problem in Australia. Among Australians aged 25 years and over, 60% are over-weight or obese. This is forecast to rise to 80% by 2025. It...
Epiphanee has privacy filters at its core. This web based cloud friendly processor allows vast amounts of data from multiple agencies to be analysed using spatial patterns (overlaying location to the data to make sense of...
This exploratory project will address the question asked by the Princess Margaret Hospital (PMH) research staff to improve the current workflow by reducing the time needed to produce image analysis input files from the raw scan...