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

Australia / epidemiology Big Data Cardiovascular Diseases / epidemiology Humans
Big data Cardiovascular disease Datasets National platform

Journal

Heart, lung & circulation
ISSN: 1444-2892
Titre abrégé: Heart Lung Circ
Pays: Australia
ID NLM: 100963739

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 16 12 2020
revised: 21 03 2021
accepted: 24 04 2021
pubmed: 8 6 2021
medline: 30 9 2021
entrez: 7 6 2021
Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.1016/j.hlc.2021.04.023 PMID: 34092503
pubmed: 34092503
pii: S1443-9506(21)00517-5
doi: 10.1016/j.hlc.2021.04.023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1467-1476

Subventions

Organisme : British Heart Foundation
ID : CH/12/2/29428
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/13/13/30194
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/18/13/33946
Pays : United Kingdom

Informations de copyright

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.

Auteurs

Ellie Paige (E)

National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.

Kerry Doyle (K)

Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia; National Institute of Complementary Medicines, Sydney, NSW, Australia; Ausbiotech, Melbourne, Vic, Australia.

Louisa Jorm (L)

Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.

Emily Banks (E)

National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia; Sax Institute, Sydney, NSW, Australia.

Meng-Ping Hsu (MP)

Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia.

Lee Nedkoff (L)

School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.

Tom Briffa (T)

School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.

Dominique A Cadilhac (DA)

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.

Ray Mahoney (R)

Australian e Health Research Centre, CSIRO, Brisbane, Qld, Australia.

Johan W Verjans (JW)

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.

Girish Dwivedi (G)

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.

Michael Inouye (M)

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.

Gemma A Figtree (GA)

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.

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Classifications MeSH

questionsmedicales.fr › Régions géographiques › Océanie › Australasie › Australie › A Versatile Big Data Health System for...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Systèmes d'information › Mégadonnées › A Versatile Big Data Health System for...
questionsmedicales.fr › Maladies cardiovasculaires › A Versatile Big Data Health System for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A Versatile Big Data Health System for...