黑料网大事记

Our capabilities

Strengthening research capabilities for better health and wellbeing
Personalise
Robot hand

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:
Person holding baby hand

National Perinatal Epidemiology and Statistics Unit (NPESU)

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.
advanced-statistics

Epidemiology and biostatistics

We design epidemiologically rigorous studies using linked administrative data and we secure the proper ethical approvals to link datasets.
Adults analysing data

Real world evidence

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.
Digital photo of doctor accessing electronic medical records

Electronic medical records

Electronic medical records provide a secure, customisable, cloud-based computing environment for researchers using sensitive data.
Abstract information tunnel.

Linked 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.
Calculator and pen on table

Data governance and ethics

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.
Young doctor sitting with patient

Clinical quality registries

The National Perinatal Epidemiology & Statistics Unit (NPESU) at 黑料网大事记 Medicine & Health Centre hosts big data to monitor, inform and publish on clinical care.
Robot study holographic heart in futuristic medical laboratory. 3d illustration. Science concept.

Clinical AI

In the last decade it has become clear that Artificial Intelligence (AI) technologies have the power to revolutionise complex decision-making processes, such as those required by the practice of Medicine.

Digital photo of person accessing digital health records

Digital health

We undertake research to understand how digital approaches can best be applied in clinical- and consumer-facing applications.