A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health

Ellie Paige; Kerry Doyle; Louisa Jorm; Emily Banks; Meng-Ping Hsu; Lee Nedkoff; Tom Briffa; Dominique A Cadilhac; Ray Mahoney; Johan W Verjans; Girish Dwivedi; Michael Inouye; Gemma A Figtree

doi:10.1016/j.hlc.2021.04.023

A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health

Heart Lung Circ. 2021 Oct;30(10):1467-1476. doi: 10.1016/j.hlc.2021.04.023. Epub 2021 Jun 4.

Authors

Ellie Paige¹, Kerry Doyle², Louisa Jorm³, Emily Banks⁴, Meng-Ping Hsu⁵, Lee Nedkoff⁶, Tom Briffa⁶, Dominique A Cadilhac⁷, Ray Mahoney⁸, Johan W Verjans⁹, Girish Dwivedi¹⁰, Michael Inouye¹¹, Gemma A Figtree¹²

Affiliations

¹ National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
² Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia; National Institute of Complementary Medicines, Sydney, NSW, Australia; Ausbiotech, Melbourne, Vic, Australia.
³ Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
⁴ National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia; Sax Institute, Sydney, NSW, Australia.
⁵ Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia.
⁶ School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
⁷ Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Vic, Australia; Stroke Theme, the Florey Institute of Neuroscience and Mental Health, the University of Melbourne, Melbourne, Vic, Australia.
⁸ Australian e Health Research Centre, CSIRO, Brisbane, Qld, Australia.
⁹ Australian Institute for Machine Learning/Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide, SA, Australia; Royal Adelaide Hospital, Adelaide, SA, Australia.
¹⁰ School of Population and Global Health, The University of Western Australia, Perth, WA, Australia; Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, WA, Australia.
¹¹ Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Vic, Australia; Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; The Alan Turing Institute, London, UK.
¹² Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia; Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia. Electronic address: gemma.figtree@sydney.edu.au.

PMID: 34092503
DOI: 10.1016/j.hlc.2021.04.023

Abstract

Cardiovascular diseases (CVD) are leading causes of death and morbidity in Australia and worldwide. Despite improvements in treatment, there remain large gaps in our understanding to prevent, treat and manage CVD events and associated morbidities. This article lays out a vision for enhancing CVD research in Australia through the development of a Big Data system, bringing together the multitude of rich administrative and health datasets available. The article describes the different types of Big Data available for CVD research in Australia and presents an overview of the potential benefits of a Big Data system for CVD research and some of the major challenges in establishing the system for Australia. The steps for progressing this vision are outlined.

Keywords: Big data; Cardiovascular disease; Datasets; National platform.

Copyright © 2021 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.

MeSH terms

Australia / epidemiology
Big Data*
Cardiovascular Diseases* / epidemiology
Cardiovascular Diseases* / prevention & control
Humans

Abstract

MeSH terms

Grants and funding