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

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^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate › peer-review

10 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1467-1476
Number of pages	10
Journal	Heart Lung and Circulation
Volume	30
Issue number	10
DOIs	https://doi.org/10.1016/j.hlc.2021.04.023
Publication status	Published - Oct 2021

Access to Document

10.1016/j.hlc.2021.04.023

Cite this

@article{a04805ca737b4856a81acaeb953ea9be,

title = "A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health",

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",

author = "Ellie Paige and Kerry Doyle and Louisa Jorm and Emily Banks and Hsu, {Meng Ping} and Lee Nedkoff and Tom Briffa and Cadilhac, {Dominique A.} and Ray Mahoney and Verjans, {Johan W.} and Girish Dwivedi and Michael Inouye and Figtree, {Gemma A.}",

note = "Publisher Copyright: {\textcopyright} 2021 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ)",

year = "2021",

month = oct,

doi = "10.1016/j.hlc.2021.04.023",

language = "English",

volume = "30",

pages = "1467--1476",

journal = "Heart Lung and Circulation",

issn = "1443-9506",

publisher = "Elsevier Ltd.",

number = "10",

}

TY - JOUR

T1 - A Versatile Big Data Health System for Australia

T2 - Driving Improvements in Cardiovascular Health

AU - Paige, Ellie

AU - Doyle, Kerry

AU - Jorm, Louisa

AU - Banks, Emily

AU - Hsu, Meng Ping

AU - Nedkoff, Lee

AU - Briffa, Tom

AU - Cadilhac, Dominique A.

AU - Mahoney, Ray

AU - Verjans, Johan W.

AU - Dwivedi, Girish

AU - Inouye, Michael

AU - Figtree, Gemma A.

PY - 2021/10

Y1 - 2021/10

N2 - 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.

AB - 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.

KW - Big data

KW - Cardiovascular disease

KW - Datasets

KW - National platform

UR - http://www.scopus.com/inward/record.url?scp=85107435493&partnerID=8YFLogxK

U2 - 10.1016/j.hlc.2021.04.023

DO - 10.1016/j.hlc.2021.04.023

M3 - Comment/debate

SN - 1443-9506

VL - 30

SP - 1467

EP - 1476

JO - Heart Lung and Circulation

JF - Heart Lung and Circulation

IS - 10

ER -

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

Abstract

Access to Document

Other files and links

Fingerprint

Cite this