As Australia’s first lab to combine expertise from two related areas of knowledge: visual analytics and decision analytics, the VIDEA lab provides new opportunities to better plan mental and public health.
Our CMHR VIDEA Lab is central to the national and international visual and decision analytics hub within the ANU Research School of Population Health. This hub brings together national and international decision-scientists and visual analytics experts from many disciplines, to research specific areas of policy and society.
We use new and advanced technologies and methods (e.g., machine learning, artificial intelligence and network analysis) and data science to visually analyse patterns of mental healthcare across the community to provide a better knowledge base and optimise communication with policy makers and stakeholders in the public health sector. We use our uniquely combined capacity in machine learning, data visualisation, modelling and advanced data analytics, to analyse and visualise complex healthcare data sets.
We use decision analytics to apply a unique, participatory approach to developing models for healthcare. This approach helps to make models and their underlying assumptions more transparent. These models capture the complex and dynamic nature of health and social problems and provide evidence to support decision making. By bringing together researchers and end-users to engage in the development process of these tools, our models can incorporate insights from policy and practice, and are driven by policy priorities. Decision analytics utilises technologies and methods (visual analytics approaches) to develop adaptable decision support tools that forecast the impact of alternative decision options before they are implemented in the real world.
Healthcare Ecosystem and Systems Dynamics
In a healthcare ecosystem and systems dynamics approach, all elements of healthcare interact with each other at different levels: micro (individual level), meso (regional level) and macro level (national level).
Visual and decision analytics help us to quantify contextual factors in healthcare ecosystems and link them with health provider attributes to aid better understanding of the healthcare landscape. Policymakers can then use the outputs of decision analytics to assist with their policy planning and interventions.
Our VIDEA Lab researchers use Geographical Information Systems (GIS) technology to look at patterns in healthcare. We have researchers with extensive expertise in medical geography and spatial epidemiology to aid our research.
Our Activities include:
- Developing international, integrated mental health atlases
- Applying machine learning approaches to mental healthcare systems
- Developing an index of the contextual factors for a healthcare ecosystem
- Geospatial analysis of rural and urban mental health
- Contributing to inaugural ANU grand challenges in visualising healthcare systems in particular for neurological disorders and Type I diabetes
- Collaborating across disciplines and colleges at ANU and worldwide (e.g. cross-college collaboration: joint workshops and training courses with ANU college of Engineering and Computer Science and School of Demography)
- Organising seminar and workshop series on systems thinking and decision analytics to help people to better understand visual and decision analytics
- Engaging and communicating with national and international healthcare research and policy (e.g. policymakers at PHNs, National Mental Health Commission, Department of Health and international organisations)
- Hosting international and national scholars in the VIDEA Lab to exchange knowledge between academic colleagues around the world
- Supervising early career researchers and students
- Developing a graduate level Healthcare Systems Engineering course
A Azimi, N Bagheri, SM Mostafavi, MA Furst, S Hashtarkhani, FH Amin, ...
BMC Public Health 21 (1), 1-12
|An ecosystems approach to mental health services research
MA Furst, N Bagheri, L Salvador-Carulla
BJPsych International 18 (1), 23-25
Salinas-Perez JA, Gutierrez-Colosia MR, Suontausta P, Bertrand J, Almeda N, Furst M, et al.. An international comparative analysis of the mental health care delivery system in remote areas: the Kimberley (Australia), Nunavik (Canada) and Lapland (Finland). International Journal of Integrated Care. 2021;20(3):144. DOI: http://doi.org/10.5334/ijic.s4144
|The association between living in socially fragmented neighbourhoods and psychological distress among immigrant and non-immigrant people aged 45 and over in NSW, Australia
H Tabatabaei-Jafari, T Zulfiqar, J Welsh, N Bagheri
Australian & New Zealand Journal of Psychiatry, 0004867420981414
|Investigating spatial convergence of diagnosed dementia, depression and type 2 diabetes prevalence in West Adelaide, Australia
JYH Aw, K Smurthwaite, N Bagheri
Journal of Affective Disorders 277, 524-530
|Patterns of Mental Healthcare Provision in Urban Areas: A Comparative Analysis for Informing Local Policy
MA Furst, J Salinas-Perez, MR Gutiérrez-Colosia, J Mendoza, N Bagheri, ...
|Identifying community chronic kidney disease risk profile utilising general practice clinical records and spatial analysis: an approach to inform policy and practice
N Bagheri, S Pearce, S Mazumdar, E Sturgiss, H Haxhimolla, D Harley
Internal Medicine Journal
|Identifying hotspots of type 2 diabetes risk using general practice data and geospatial analysis: an approach to inform policy and practice
N Bagheri, P Konings, K Wangdi, A Parkinson, S Mazumdar, E Sturgiss, ...
Australian journal of primary health 26 (1), 43-51
|Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review
Y Chung, N Bagheri, JA Salinas-Perez, K Smurthwaite, E Walsh, MA Furst, ...
International Journal of Information Management 50, 17-27
|Patterns of Service Provision in Older People’s Mental Health Care in Australia
H Tabatabaei-Jafari, JA Salinas-Perez, MA Furst, N Bagheri, J Mendoza, ...
International journal of environmental research and public health 17 (22), 8516