Big Data Analytics for Healthcare Organization: A Study of BDA Process, Benefits and Challenges of BDA

Reddy, Deeksha; Kumar, Rajeev

doi:10.25046/aj020425

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…• Variety: the multiple types of data extracted from many sources. Big data in health care can be classified into three main types: structured, semi-structured, and unstructured [4].…”

Section: Big Data Characteristicsmentioning

confidence: 99%

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Investigating the Adoption of Big Data Management in Healthcare in Jordan

Bani-Salameh

Al-Qawaqneh

Taamneh

2021

Data

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Software developers and data scientists use and deal with big data to easily discover useful knowledge and find better solutions to improve healthcare services and patient safety. Big data analytics (BDA) is getting attention due to its role in decision-making across the healthcare field. Therefore, this article examines the adoption mechanism of big data analytics and management in healthcare organizations in Jordan. Additionally, it discusses health big data’s characteristics and the challenges, and limitations for health big data analytics and management in Jordan. This article proposes a conceptual framework that allows utilizing health big data. The proposed conceptual framework suggests a way to merge the existing health information system with the National Health Information Exchange (HIE), which might play a role in extracting insights from our massive datasets, increases the data availability and reduces waste in resources. When applying the framework, the collected data are processed to develop knowledge and support decision-making, which helps improve the health care quality for both the community and individuals by improving diagnosis, treatment, and other services.

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“…• Variety: the multiple types of data extracted from many sources. Big data in health care can be classified into three main types: structured, semi-structured, and unstructured [4].…”

Section: Big Data Characteristicsmentioning

confidence: 99%

“…The analysis of such data is important for extracting information, gaining knowledge, and discovering hidden patterns [1][2][3]. Additionally, analysis of health big data improves the quality of services and reduces costs [4].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Adoption of Big Data Management in Healthcare in Jordan

Bani-Salameh

Al-Qawaqneh

Taamneh

2021

Data

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“…Apache HBase and NoSQL) for collecting, processing and analysing data using machine learning algorithms (e.g. Hadoop) [57,58].…”

Section: Opportunities and Challenges Of Big Data In Healthcare Systemsmentioning

confidence: 99%

“…By definition, BD involves the collection of large amounts of data, which raises ethical concerns because the storage and processing of personal data can result in privacy violations [48,54,55,74]. To protect these aspects, data governance and data compliance activities are necessary [47,57]. Some authors have drawn attention to the emergence of appropriate data governance regulations (e.g.…”

Section: Opportunities and Challenges Of Big Data In Healthcare Systemsmentioning

confidence: 99%

Opportunities and Challenges in the Use of Big Data in Healthcare: A Literature Review

Dicuonzo

Galeone

Shini

2021

KSS

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Digitalisation and the use of technology are pushing the spread of new business models and improving the efficiency of processes. The demand for innovative and revolutionary applications is increasing, along with the use of big data (BD). The proliferation of large quantities of data is receiving considerable attention in all sectors due to the possibility of using these data in decision-making processes. In the healthcare sector, the role of BD is prominent, especially regarding patient diagnostics, fast epidemic recognition and patient management improvement. To ensure personalised care, the health system must transform individual medical services into electronic forms and favour complete and systemic automation based on the advanced technologies of Industry 4.0. This paper consists of a systematic literature review of the use of BD in the healthcare sector, focusing on the opportunities and challenges. To this end, we selected articles from the Scopus and Web of Science databases. Providing a deep understanding of the state of the art, this paper aims to reveal the implications of the use of BD and offer valuable insights to address future research and identify emerging issues. Keywords: big data, healthcare, digitalisation, internet of things, artificial intelligence

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Big Medical Data Analytics Under Internet of Things

Abougreen

2021

Internet of Things

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Big Data Analytics for Healthcare Organization: A Study of BDA Process, Benefits and Challenges of BDA

Cited by 4 publications

References 8 publications

Investigating the Adoption of Big Data Management in Healthcare in Jordan

Investigating the Adoption of Big Data Management in Healthcare in Jordan

Opportunities and Challenges in the Use of Big Data in Healthcare: A Literature Review

Big Medical Data Analytics Under Internet of Things

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