The NHMRC Centre of Research Excellence in Digital Health (CRE) are pleased to announce that CSIRO has joined the ACHI Fellowship by Training Program as an accredited host organisation. Fellowship candidate Vasu Rani has been awarded a six-month paid work placement within the Mobile Health Systems team, which is a part of CSIRO’s Australian e-Health
The NHMRC Centre of Research Excellence in Digital Health (CRE) are pleased to announce that Fellowship candidate Toby Hodgson has been awarded a paid work placement at the Australian Digital Health Agency (ADHA). This placement represents a significant milestone in the development of the Fellowship by Training Program which is a core program of the CRE. Toby
The ACHI Fellowship by Training Program launched in November 2017 and the response by PhD candidates, academia, government and industry has been extremely positive. Thirteen health informatics research PhD candidates have now been accepted into the program. These candidates, from across Australia and New Zealand, come from a diverse range of disciplines and research domains,
Forgetting shapes learning in two different ways. It impedes learning when important lessons are forgotten. Equally, it can be difficult to enact new lessons if we do not let go of old beliefs and practices that are no longer useful. A learning health system (LHS) that wishes to improve health service delivery will need to
The NHMRC Centre for Research Excellence in Digital Health (CRE) is calling on government, industry, consumers and health service providers to identify critical gaps in digital health evidence-based policy. Making evidence-based decisions is a major challenge for policy makers, health services and industry who operate often on tight timeframes, and may not have access to
The NHMRC Centre of Research Excellence in Digital health in partnership with the Australasian College of Health Informatics (ACHI) is pleased to announce that applications are now open for the Health Informatics Fellowship Training Program. Health Informatic research PhD candidates enrolled at an Australasian university are eligible to apply. Applications are to be submitted online
Chief Investigators from the newly established NHMRC of Research Excellence in Digital Health (CRE) met for the first time on 7 November to discuss the way forward for the next five years. Led by Professor Enrico Coiera, investigators in the CRE come from Macquarie University, Bond University Limited, CSIRO, the University of Melbourne, UNSW, University
About the Rapid response function Making evidence-based decisions is a major challenge for policy makers, health services and industry who operate often on tight timeframes, and may not have access to the research literature or be set up to analyse it effectively. Many questions also test the boundaries of the research literature. The CRE
What is digital health? Digital health is the delivery of health services using digital technologies and is crucial to health service modernisation. It has the potential to reshape existing health services, making them safer, more efficient, flexible, personalised and sustainable, and provide consumers with new tools to support self-management, and new ways of collaboratively engaging
Promote effective transfer of research outcomes into health policy or practice A project-specific translational plan has been developed for each of the three CRE research programs. In addition, the CRE will adopt several general strategies to ensure that the work program reflects the needs of its users, and is effectively disseminated: A translational program including
Management Committee The Management Committee includes all Chief Investigators (CIs) and is chaired by the CRE Director (Professor Enrico Coiera) and receives advice from the Expert Advisory Committee. The Management Committee includes senior national and international researchers, NGOs, industry and government to ensure access to clinical services, new technologies, and the engagement of clinicians, consumers
Coiera E, Magrabi F, Talmon J. Engineering technology resilience through informatics safety science [Editorial]. Journal of the American Medical Informatics Association. 2017; 24(2):244-5.
With every year that passes, our relationship to information technology becomes more complex, and our dependence deeper. Technology is our great ally, promising greater efficiency and productivity. It also promises greater safety for our patients. However, this relationship with technology can sometimes be a brittle one. We can quickly cross a safety gap from a
Coorey GM, Neubeck L, Usherwood T, Peiris D, Parker S, Lau AY, Chow C, Panaretto K, Harris M, Zwar N. Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation. BMJ Open. 2017; 7(1):e014353.
Introduction Technology-mediated strategies have potential to engage patients in modifying unhealthy behaviour and improving medication adherence to reduce morbidity and mortality from cardiovascular disease (CVD). Furthermore, electronic tools offer a medium by which consumers can more actively navigate personal healthcare information. Understanding how, why and among whom such strategies have an effect can help determine the
Lyell D, Magrabi F, Raban MZ, Pont LG, Baysari MT, Day RO, Coiera E: Automation bias in electronic prescribing. BMC Medical Informatics and Decision Making 2017, 17(1):28.
BACKGROUND: Clinical decision support (CDS) in e-prescribing can improve safety by alerting potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users over-rely on CDS, reducing vigilance in information seeking and processing. Evidence of AB has been found in other clinical tasks, but has not yet been tested with e-prescribing. This
Wang Y, Coiera E, Gallego B, Perez-Concha O, Ong M-S, Tsafnat G, Roffe D, Jones G, Magrabi F. Measuring the effects of computer downtime on hospital pathology processes. Journal of biomedical informatics. 2016; 59:308-15.
Abstract OBJECTIVE: To introduce and evaluate a method that uses electronic medical record (EMR) data to measure the effects of computer system downtime on clinical processes associated with pathology testing and results reporting. MATERIALS AND METHODS: A matched case-control design was used to examine the effects of five downtime events over 11-months, ranging from 5