Big data in healthcare: Conceptual network structure, key challenges and opportunities

Furstenau, Leonardo Bertolin; Leivas, Pedro; Sott, Michele Kremer; Dohan, Michael S.; López-Robles, José Ricardo; Cobo, Manuel J.; Bragazzi, Nicola Luigi; Choo, Kim‐Kwang Raymond

doi:10.1016/j.dcan.2023.03.005

Cited by 9 publications

(5 citation statements)

References 79 publications

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“…In the organization challenges, several studies found that the influence of top management factor plays a significant role in big data adoption [77], [78]. This finding is also supported by a study in China stating that top management readiness is the most important factor in big data adoption [79].…”

Section: Comparison Of Challenges Faced By Organizations In Malaysia ...mentioning

confidence: 73%

“…On the factor of government regulation, most of the studies from other countries acknowledge the government regulation play an important role in big data adoption [58]. However, a study investigating SMEs big data adoption in Iran found that the investment of big data is too huge that government incentives are not enough to encourage big data adoption [77].…”

Section: Comparison Of Challenges Faced By Organizations In Malaysia ...mentioning

confidence: 99%

“…These trials allow organizations to assess the software's features and functionality, enabling them to determine its suitability for their intended tasks. Multiple studies have demonstrated that effective utilization of big data technology increases SMEs' likelihood of adoption [77], [82]. Lastly, it is worth reiterating the paramount importance of the local government's involvement in crafting policies that actively support organizations and companies in their endeavors to adopt big data technologies.…”

Section: Mitigation Recommendationsmentioning

confidence: 99%

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Challenges in big data adoption for Malaysian organizations: a review

Qi Zian,

Zareen Zulkarnain,

Jaya Kumar

2024

IJEECS

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<p><span>Big data has played an ever-increasing role in various sectors of the economy. Despite the availability of big data technologies, many companies and organizations in Malaysia remain reluctant to adopt them. Numerous studies have been published on big data adoption; however, there is a lack of research focusing on identifying the challenges faced by Malaysian organizations. Therefore, this study will implement the technology-organization-environment (TOE) framework to examine the challenges faced by Malaysian organizations with regards to big data adoption. A systematic literature review (SLR) was conducted to examine the challenges. From the result of this study, it was found that the factors from technology context are deemed to be the major challenge faced in big data adoption followed by organization and environment factors. Furthermore, the insights derived from the TOE framework-based information can help address concerns that hinder big data adoption among organizations in Malaysia. Finally, this study concludes with several recommendations.</span></p>

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Section: Comparison Of Challenges Faced By Organizations In Malaysia ...mentioning

confidence: 73%

Section: Comparison Of Challenges Faced By Organizations In Malaysia ...mentioning

confidence: 99%

Section: Mitigation Recommendationsmentioning

confidence: 99%

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Challenges in big data adoption for Malaysian organizations: a review

Qi Zian,

Zareen Zulkarnain,

Jaya Kumar

2024

IJEECS

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“…Their research specifically examined the integration of smart health technologies with artificial intelligence. Furstenau and his colleagues [22] performed a performance analysis utilising Web of Science (WoS) data from 2009 to 2020, with the assistance of a scoping review. Sikandar et al [32] investigated the utilisation of digital technologies in the healthcare sector using Scopus database for the period between 2017 and 2021.…”

Section: And 2018mentioning

confidence: 99%

“…Data analytics has proven instrumental in predicting heart disease [15] [16] conducting psychological analyses of language on social media [17] [18] [19] [20] and enhancing pandemic management [21]. The academic literature highlights many benefits linked to the use of big data in the healthcare sector [22]. However, there remain significant challenges and barriers that require attention, encompassing concerns such as the security of personal health records [7], increased financial investments [23], a shortage of relevant skill sets [24] and the need for a robust information technology infrastructure [25] among others.…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Landscape of Big Data Analytics in Healthcare: A Comprehensive Bibliometric Analysis

Mohd Amran Mohd Daril,

Fozia Fatima,

Samar Raza Talpur

et al. 2024

Int. J. Onl. Eng.

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In the rapidly evolving landscape of healthcare, the digital transformation marked by healthcare 4.0 has spurred a surge in data generation, giving rise to ‘big data’. Big data analytics has become an effective tool in the healthcare industry, revolutionising medical research, patient care, and healthcare management. This study undertakes a meticulous bibliometric analysis, drawing upon a dataset of 2212 articles from the Scopus database spanning 2014 to 2023, to unravel the trajectory of big data analytics in healthcare. The research explores diverse dimensions, from the distribution of studies across years to the productivity rankings of journals, countries, and institutions, elucidating the evolving trends and key contributors. Co-authorship networks and keyword co-occurrence analysis reveal thematic clusters and intellectual structures, contributing to a nuanced understanding of the field. The results underscore the escalating global interest in the fusion of big data and healthcare, illuminating collaborations, and identifying influential players. Additionally, the study identifies pressing challenges, including security concerns and skill shortages, emphasizing the imperative of overcoming these barriers for effective big data applications in healthcare. Serving as a valuable resource for researchers, practitioners, and policymakers, this research not only captures the current landscape but also provides insights for future exploration, contributing to strategic planning in this dynamic domain.

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System for automatically assessing the likelihood of inferior alveolar nerve injury

Gong,

Feng,

et al. 2024

Computers in Biology and Medicine

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Big data in healthcare: Conceptual network structure, key challenges and opportunities

Cited by 9 publications

References 79 publications

Challenges in big data adoption for Malaysian organizations: a review

Challenges in big data adoption for Malaysian organizations: a review

Unveiling the Landscape of Big Data Analytics in Healthcare: A Comprehensive Bibliometric Analysis

System for automatically assessing the likelihood of inferior alveolar nerve injury

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