The Health and Clinical Analytics team has established a collaborative network of international researchers, clinicians, statisticians and community members to improve the delivery of healthcare through novel research methods and analytics.
Our aim is to improve healthcare by:
Our research programs are finding implementable solutions for a broad range of important clinical areas.
More Australian hospitals are using electronic medical record (eMR) systems than ever before, but implementing ways to seamlessly use electronic data to drive improvements in care is still a long way off.
We are working together with the Sydney Children’s Hospital Network and other children’s hospitals to design and implement a state-of-the-art digital infrastructure system to support a learning healthcare system. The infrastructure aims to transform eMR data into an analysable format, allowing researchers to safely and securely access data to perform analyses and report the results to clinicians in a timely manner.
Around 3 in 10 children will develop an allergy, including eczema or food allergy, by their first birthday.
We are implementing a multi-centre pragmatic adaptive clinical trial called OPTIMUM, to assess whether introducing an initial dose of “whole-cell” pertussis (whooping cough) vaccine can protect babies against the future development of allergy.
1 in 4 people with a cystic fibrosis (CF) lung exacerbation fail to fully regain their previous lung function.
We are designing and implementing BEAT CF, a world-first, healthcare-embedded adaptive platform which aims to optimise the management of exacerbations. The Australia-wide study is a partnership between researchers, clinicians, patients and their families. BEAT CF is currently enrolling children, teenagers and adults with CF into the BEAT CF Platform which systematically captures information about their treatment and outcomes. In time, BEAT CF will evolve into an adaptive platform trial which will directly compare the effectiveness of treatments across different domains including antibiotics, mucolytics, anti-inflammatories and physiotherapy.
Providing safe and effective early management for children who present to emergency departments with a possible serious infection is complex and requires accurate but rapid decision-making by clinicians.
We are developing a comprehensive network model to improve diagnosis and prognosis, including prediction of the likelihood of serious infections like bacteraemia, bone and joint infections, urine infections and pneumonia, based on information available shortly after presentation to hospital. The work is a collaboration with Telethon Kids Institute, Perth Children’s Hospital, Bayesian Intelligence, and Monash University and is informed by extensive consultation with clinical experts and involvement of consumers. The model will be carefully validated based on data extracted from hospital electronic medical records (eMR) before being deployed for use as a clinical tool.
Participate in a research project
We are searching for people with cystic fibrosis to be involved in the BEAT CF study. To read more about what’s involved, please visit beatcf.org.au
We are available for research collaborations involving novel trials and causal modelling for both clinical and public health research. Please reach out to our team to discuss how we can help your research.
Our Sydney team is closely integrated with the Adaptive Health Intelligence team based at the Telethon Kids Institute, Perth. Our team comprises researchers, clinicians, statisticians, informaticians, data managers and research coordinators.