Associate Professor Liam Caffery
Researcher biography
Liam is an Associate Professor in Telehealth and Director of Telehealth Technology for the University of Queensland's Centre for Online Health.
Liam has a PhD in Medicine. His research is centred on pragmatic trials of telehealth services. Liam has a special interest in the use of telehealth for Indigenous health and rural health care delivery. He is involved in telehealth service development, delivery and evaluation across a broad range of telehealth services. Liam uses implementation research principles to understand why telehealth services work well in some scenarios and not others. He evaluates the effectiveness of telehealth from multi-disciplinary perspectives including clinical effectiveness, patient perspectives, economic aspects, organisational aspects, and socio-cultural, ethical and legal aspects.
Liam also has an active research agenda in health informatics, in particular, in imaging informatics. Liam's work focusses on skin imaging for melanoma detection. Liam chairs dermatology working group for the DICOM standards development organisation as well as the technology standards working group for the International Skin Imaging Collaboration: Melanoma Project. This project is an academia and industry partnership designed to facilitate the application of digital skin imaging to help reduce melanoma mortality. Liam is technology lead for the Australian Centre of Excellence in Melanoma Imaging and Diagnosis. Liam has previously been a member of the Standards Australia IT-014 Health Informatics technical committees for telehealth and messaging and communication.
Liam is Vice-President of the Australian Telehealth Society and an executive member of the International Teledermatology Society.
Liam has 25 years industry experience as a health informatician. His immediate past role was the Manager of Medical Imaging Informatics at the Royal Brisbane and Women's Hospital. Previously, Liam had over a decade's clinical experience as a diagnostic radiographer.
Featured projects | Duration |
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iToBoS (Intelligent Total Body Scanner for Early Detection of Melanoma) National Health and Medical Research Council |
PhD and MPhil Supervision
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