The Centre for Big Data Research in Health (CBDRH) builds research capabilities in Australia and beyond. We strengthen these capabilities through our expertise and work in:
The NPESU is a leading source of statistical and epidemiological research in reproductive medicine, pregnancy and childbirth, as well as the health and care of newborns.
In the last decade it has become clear that Artificial Intelligence (AI) technologies have the power to revolutionize complex decision-making processes, such as those required by the practice of Medicine.
At the Centre for Big Data Research in Health (CBDRH), we’re developing and applying novel machine learning methods to improve patient care and make clinical processes more streamlined and effective.
We design epidemiologically rigorous studies using linked administrative data and we secure the proper ethical approvals to link datasets.
Real world evidence focuses on the use and potential benefits and risks of a medical product or intervention derived from analysis of real-world data.
Electronic medical records provide a secure, customisable, cloud-based computing environment for researchers using sensitive data.
Our experts are recognised leaders in research using routinely collected and linked data. We source state and national datasets, longstanding relationships with data custodians and apply for linked data via state and Commonwealth agencies.
At the Centre for Big Data Research in Health (CBDRH), we use health and medical big data in ways that comply with laws, regulations and policy. We respect the interests of individuals and the public and deliver trustworthy outcomes.
The National Perinatal Epidemiology & Statistics Unit (NPESU) at UNSW Medicine & Health Centre hosts big data to monitor, inform and publish on clinical care.