The Impact of Big Data on Health Care Services in Australia: Using Big Data Analytics to Categorise and Deal with Patients

Shakir Karim, E. Gide, Raj Sandu
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Abstract

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.
大数据对澳大利亚医疗保健服务的影响:使用大数据分析对患者进行分类和处理
大数据是当今技术驱动世界中最大的新兴趋势和前景。它不仅在技术领域,而且在世界各地继续制造大量的嗡嗡声。它承诺实质性的参与,巨大的变化,现代化,并与人们的日常生活相融合。它使世界变得更加苛刻,并有助于及时做出适当的决定。本文旨在全面分析澳大利亚的健康产业和医疗保健系统,这些都与大数据形成的后果有关。本文主要使用二次研究分析方法,对与大数据相关的健康问题的积极和消极后果、这些后果的设计者以及那些被后果夸大的人进行了广泛的调查。次要资源包括期刊文章、报告、会议记录、媒体文章、公司文件、博客和其他适当的信息。在未来,调查将继续采用混合方法(定性和定量),有关大数据在澳大利亚健康行业的使用。论文最初发现,大数据是医疗保健的证据来源,并为澳大利亚医疗保健系统提供了有用的见解。它正在稳步降低澳大利亚医疗保健系统的成本,并改善澳大利亚患者的治疗效果。大数据不仅可以改善公共和卫生企业之间的事务,还可以通过提高效率和现代化来改善生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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