Projects per year
Personal profile
Biography
BE PhD UNSW
Dr Annie Lau leads the Consumer Informatics stream at the Centre for Health Informatics, Australian Institute of Health Innovation. This is the most active and productive consumer informatics research program in Australia, investigating new approaches to improve consumer health and patient engagement through digital technology. She has a national and international profile for her expertise in consumer digital health.
Her research interests lie in digital health, consumer informatics, and patient work.
Her research involves: (i) using digital technology to understand the "work" patients and consumers do for their health, (ii) designing and evaluating digital health interventions for patients and consumers; and (ii) analysing patient and consumer behaviours using informatics and computational techniques.
Her research in consumer eHealth systems have been spun off into a new start-up venture, which launched in Silicon Valley in 2015. Her research has been mentioned in several national and international media appearances including her work on the Healthy.me.
Dr. Lau is a recipient of the NSW Health Early-Mid Career Fellowship. She was also the winner of the 2016 Women in Research Citation Awards for the discipline ‘Health Informatics’. These awards honour the outstanding achievements of early to mid-career women researchers in Australia across all fields of research in science, social sciences and the humanities.
External positions
Visiting Fellow, University College London
Visiting Fellow, University of Oxford
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CRE in Interactive Digital Technology to Transform Australia’s Chronic Disease Outcomes
Oldenburg, B., Maddison, R., Kostakos, V., Boyle, D., Borland, R., Lau, A., Furler, J., Scuffham, P. A., Abraham, C., Taylor, C., Moy, C., Magrabi, F., Wadley, G., Car, J., Yan, L., Varnfield, M., Brooks, P., Absetz, P., Scibilia, R. & Mohan, S.
1/11/19 → 31/10/24
Project: Research
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Redesigning patient experiences in health service navigation using digital technology
Lau, A., Laranjo, L., Tong, H. L., Liu, J., Coiera, E., Willcock, S., Vagholkar, S., Carey, M., Biggs, J., Vaile, I., Marles, E. & Besley, S.
31/03/17 → …
Project: Research
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Patient-centred eHealth approach to improving outcomes for gout sufferers
Westbrook, J., Day, R., Zwar, N. A., Reath, J., Lau, A., Baysari, M., Laba, T., McLachlan, A., Runciman, W., Coiera, E., Braithwaite, J. & Clay-Williams, R.
1/04/15 → …
Project: Research
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Centre of Research Excellence in Digital Health (CREDiH)
Coiera, E., Glasziou, P., Hansen, D., Magrabi, F., Sintchenko, V., Verspoor, K., Gallego-Luxan, B., Lau, A., Dunn, A., Longhurst, C., Tsafnat, G., Cutler, H., Makeham, M., Shaw, T., Shah, N., Runciman, W. & Liaw, S. T.
1/01/18 → 31/12/22
Project: Research
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Translating primary care to telehealth: analysis of in-person consultations on diabetes and cardiovascular disease
Jared, L., David, K., Ramarao, J., Ward, K., Raghuraman, S., Waheed, M. & Lau, A. Y. S., Mar 2023, In: BJGP Open. 7, 1, p. 1-10 10 p., 0123.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Consumer workarounds during the COVID-19 pandemic: analysis and technology implications using the SAMR framework
Yin, K., Coiera, E., Jung, J., Rohilla, U. & Lau, A. Y. S., 14 Jun 2022, In: Journal of the American Medical Informatics Association : JAMIA. 29, 7, p. 1244-1252 9 p.Research output: Contribution to journal › Article › peer-review
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Consuming health information and vulnerable populations: factors of engagement and ongoing usage
Staccini, P. & Lau, A. Y. S., 1 Aug 2022, In: Yearbook of Medical Informatics. 31, 1, p. 173-180 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Family informatics
Coiera, E., Yin, K., Sharan, R. V., Akbar, S., Vedantam, S., Xiong, H., Waldie, J. & Lau, A. Y. S., 14 Jun 2022, In: Journal of the American Medical Informatics Association : JAMIA. 29, 7, p. 1310-1315 6 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach
Xiong, H., Phan, H. N., Yin, K., Berkovsky, S., Jung, J. & Lau, A. Y. S., 1 Aug 2022, In: Journal of the American Medical Informatics Association : JAMIA. 29, 8, p. 1400-1408 9 p.Research output: Contribution to journal › Article › peer-review