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The impact of Big Data on health care services in Australia: Using big data analytics to categorise and deal with patients

conference contribution
posted on 2020-03-27, 00:00 authored by Shakir KarimShakir Karim, Ergun GideErgun Gide, Nitirajsingh SanduNitirajsingh Sandu
Big Data is the biggest emerging trend and promise in today's technology-driven world. It is continuing to create a lot of buzz in not only the field of technology, but across the world. It promises substantial involvements, vast changes, modernizations, and integration with and within people's ongoing life. It makes the world more demanding and helps with making prompt and appropriate decisions in real time. This paper aims to provide a comprehensive analysis of the health industry and health care system in Australia that are relevant to the consequences formed by Big Data. This paper primarily uses a secondary research analysis method to provide a wide-ranging investigation into the positive and negative consequences of health issues relevant to Big Data, the architects of those consequences, and those overstated by the consequences. The secondary resources are subject to journal articles, reports, conference proceedings, media articles, corporation-based documents, blogs and other appropriate information. In the future, the investigation will continue by employing Mixed Methodology (Qualitative and Quantitative) in relation to Big Data usage in the Australian Health industry. The paper initially finds that Big Data is an evidence source in health care and provides useful insight into the Australian healthcare system. It is steadily reducing the cost of the Australian healthcare system and improving patients' outcomes in Australia. Big data can not only improve the affairs between public and health enterprises, but can also make life better by increasing efficiency and modernization. © 2019 Association for Computing Machinery.

History

Start Page

34

End Page

38

Number of Pages

5

Start Date

2019-06-28

Finish Date

2019-06-30

ISBN-13

9781450371674

Location

Sydney, Australia

Publisher

Association for Computing Machinery

Place of Publication

New York, NY

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

International Conference on Mathematics, Science and Technology Teaching and Learning (ICMSTTL2019)

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