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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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to investigate these many and varied issues to inform future decision-making and to ensure the Humanities, Arts and Social Sciences plays a vital role in driving transformative change toward a sustainable and
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learning to improve disease diagnosis, risk prediction, and clinical decision support. Applications will include chronic diseases such as cancer, diabetes, and rheumatoid arthritis. This research forms part
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collaborators have recently been awarded an Incorporating Patient Data in Health Technology Decision Making Grant under the 2025 Preventative and Public Health Research Initiative of the Medical Research Future
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opportunities for a dynamic, ‘Learning Health System’ – where data can be harnessed to inform real-time and personalised decision-making. Existing linked administrative databases already capture Australian women