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Research Stream: Digital Health

Our Health Informatics unit has extensive experience in developing and implementing clinical software for health service delivery and clinical research. Specifically: Patient Reported Outcomes Measures via SMS and Email (PROMs) and electronic clinical decision support tools for lipid, blood pressure and glucose control.

Diabetic Retinopathy

Our digital health research includes • the development and testing of software 'CREDIS' to facilitate the assessment of monitoring of diabetic eye disease and communication between multi-disciplinary care team members. The software can also be used in the training of retinal graders.

A screenshot of the CREDIS - Fundus lesion annotation tool

Artificial Intelligence in Detecting Diabetic Eye Disease

The evaluation of artificial intelligence (AI) in detecting the presence of and severity of diabetic eye disease (retinopathy). Evaluation of the level of retinopathy in retinal photos taken by health workers.and graded by both trained human graders and AI has demonstrated comparable performance of a novel AI program (manuscript in preparation).

Emptied retinal venules due to arterial branch occlusion in diabetic retinopathy (fluorescein angiography). 10 June 1998. In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Diabetic_retinopathy#/media/File:Retinal_branch_occlusion_ratkaj.jpg under CC BY-SA 4.0 license.

Surveys into Diabetes Care

The development and use of surveys, usually via REDCap, to assess diabetes care. Current studies in progress include the assessment of Type 1 diabetes care in the Western Pacific Region, blood fat (lipid) care in adults with Type 1 diabetes (the ENACT1D Study) and glucose control during pregnancy in women with diabetes.

Survey image. Credit: Photo by Adeolu Eletu on Unsplash, licensed under <a href=https://creativecommons.org/publicdomain/zero/1.0/>CC0</a>

Decision Support for Clinicians

Development of electronic clinical decision support tools to deliver relevant, up-to-date guidelines based on patient lab results and presenting condition.

A screenshot of the decision support tool