Artificial Intelligence in Clinical Decision Support

Challenges for Evaluating AI and Practical Implications Artificial intelligence (AI) promises to transform clinical decision-making processes as it has the potential to harness the vast amounts of genomic, biomarker, and phenotype data that is being generated across the health system including from health records and delivery systems, to improve the safety and quality of care

Whole-genome sequencing – lessons for public health surveillance

Genomic sequencing has proven vital in detecting the source and variants of COVID-19, improving contact tracing, reducing disease transmission and ensuring health security for Australia. But genomic sequencing isn’t new and researchers from the NHMRC Centre of Digital Health (CRE) have been investigating it’s use in cases from public surveillance of Salmonella Typhimurium, predicting antibiotic

Study finds “serious problems with privacy” in mobile health apps

Patients should be informed Media release from BMJ An in-depth analysis of more than 20,000 health related mobile applications (mHealth apps) published by The BMJ today (16 June 2021) finds “serious problems with privacy and inconsistent privacy practices.” The researchers say the collection of personal user information is “a pervasive practice” and that patients “should

Digital scribes and AI – how it impacts on primary care consultations

Can co-designing artificial intelligence tools with general practitioners deliver better patient outcomes and what impact will it have on Doctors? And what about the healthcare system? We took it to the test in a study with general practitioners simulating an AI documentation assistant for use in patient consultations. While artificial intelligence is advancing rapidly across

The Systemic Review Accelerator

How to complete a full Systematic Review in 2 weeks rather than 1 year  Before every great breakthrough there’s a dream or a vision. And one of the dreams of Chief Investigator Professor Paul Glasziou was to undertake systematic reviews in 2-weeks. Why, you might ask? Traditionally, systematic reviews have taken, on average, 67 weeks

Rapid response function

About the Rapid response function The CRE in Digital Health conducts rapid literature reviews, data collation and meta-analysis to answer critical digital health issues, with an emphasis on maintaining a neutral and independent position. Chief Investigators (CIs) prioritise questions to be answered and supervise the structuring and analysis of these reports. CIs solicit issues from



CRE in Digital Health – Promoting effective transfer of research outcomes into health policy or practice Project-specific translational plans have been developed for each of the three CRE research programs. In addition, the CRE uses several general strategies to ensure that the work program reflects the needs of its users, and is effectively disseminated: A

Advanced clinical analytics

About advanced clinical analytics The rapid growth in  Electronic Health Records (EHRs) has created a major opportunity to create a ‘learning health system’ that uses all available information to improve the quality and safety of care. Clinical analytics and ‘big data’ represent a major new frontier in health service delivery, fuelled by informatics methods for

Consumer digital health

About consumer digital health Today the convergence of information access via search tools, personal health records, mobile smart phones, wearable sensors, and information exchange between consumers and clinicians, has created a world of health ‘apps’. Patient decision aids and online support tools are thus likely to make significant contributions to the management of conditions like

Safety and quality of digital health systems

About safety and quality of digital health systems E-health is recognised as an essential component of patient safety and can improve the timeliness, safety and quality of clinical decisions. In general practice, 97% of Australian doctors use electronic records. The approximately 1,340 hospitals in Australia are increasingly dependent on IT for routine clinical processes. In


The CRE in Digital Health research programs addresses critical evidence gaps in policy and practice that limit our national capacity to exploit digital technologies in healthcare. Research programs focus on three areas and actively engage end-user partners to participate in the shaping and conduct of research. The programs bring existing teams, datasets, investments and platforms