Big Data Analytics and Its Benefits in Healthcare

Kumar, Yogesh; Sood, Kanika; Kaul, Surabhi; Vasuja, Richa

doi:10.1007/978-3-030-31672-3_1

Cited by 44 publications

(17 citation statements)

References 7 publications

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“…Also, the creation of more publicly available databases ought to be considered [41]. Also, we aim to explore the significance of blockchain in healthcare, especially in cancer research [42].…”

Section: Discussionmentioning

confidence: 99%

Cancer Prognosis Using Artificial Intelligence-Based Techniques

Gupta

Kumar

2021

SN COMPUT. SCI.

Self Cite

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Section: Discussionmentioning

confidence: 99%

Cancer Prognosis Using Artificial Intelligence-Based Techniques

Gupta

Kumar

2021

SN COMPUT. SCI.

Self Cite

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“…It increases the availability of data and analytic capabilities and reduces waste of resources; thus, it can improve health care cost-efficiency, quality, and outcomes [14]. Applying big data analytics lets value arise to develop actionable information and supports decision-making [6,[18][19][20][21][22].…”

Section: Big Data Analyticsmentioning

confidence: 99%

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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“…Many studies such as [131][132][133][134][135] demonstrated the positive [136] impact of the big data on decision making quality. The authors of [137] raised significant questions about patient privacy when using big data, especially in data collection methods.…”

Section: Medical Big Datamentioning

confidence: 99%

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

et al. 2020

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Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs.

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Big Data Analytics and Its Benefits in Healthcare

Cited by 44 publications

References 7 publications

Cancer Prognosis Using Artificial Intelligence-Based Techniques

Cancer Prognosis Using Artificial Intelligence-Based Techniques

Investigating the Adoption of Big Data Management in Healthcare in Jordan

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

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