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

被引:0
|
作者
Daril, Mohd Amran Mohd [1 ]
Fatima, Fozia [2 ]
Talpur, Samar Raza [3 ]
Abbas, Alhamzah F. [4 ]
机构
[1] Univ Kuala Lumpur, Malaysian Inst Ind Technol, Qual Engn Sect, Qual Engn Res Cluster, Johor Baharu, Malaysia
[2] Natl Univ Med Sci, Dept Hlth Profess Educ, PWD Campus Islamabad, Rawalpindi, Pakistan
[3] Sukkur IBA Univ, Sukkur, Pakistan
[4] Univ Teknol Malaysia UTM, Mkt & Entrepreneurship, Johor Baharu, Malaysia
关键词
big data; healthcare; bibliometric analysis; research trends; literature review;
D O I
10.3991/ijoe.v20i06.48085
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:4 / 24
页数:21
相关论文
共 50 条
  • [11] Bibliometric analysis: Аdoption of big data analytics in financial auditing
    Maulani, Adelia
    Widuri, Rindang
    BIZNES INFORMATIKA-BUSINESS INFORMATICS, 2024, 18 (02): : 78 - 89
  • [12] A bibliometric analysis of research on Big Data analytics for business and management
    Ardito, Lorenzo
    Scuotto, Veronica
    Del Giudice, Manlio
    Petruzzelli, Antonio Messeni
    MANAGEMENT DECISION, 2019, 57 (08) : 1993 - 2009
  • [13] Situated Big Data and Big Data Analytics for Healthcare
    Sterling, Mark
    2017 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2017,
  • [14] A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research
    Xiao, Anran
    Qin, Yong
    Xu, Zeshui
    Skare, Marinko
    INZINERINE EKONOMIKA-ENGINEERING ECONOMICS, 2023, 34 (02): : 175 - 192
  • [15] Comprehensive analysis of big data variety landscape
    Abawajy, Jemal
    INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS, 2015, 30 (01) : 5 - 14
  • [16] BIG DATA ANALYTICS IN HEALTHCARE: A REVIEW
    Onyemachi, Nkemakolam Chinenye
    Nonyelum, Ogwueleka Francisca
    2019 15TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO), 2019,
  • [17] Big Data Analytics in Medicine and Healthcare
    Ristevski, Blagoj
    Chen, Ming
    JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2018, 15 (03):
  • [18] Influencing models and determinants in big data analytics research: A bibliometric analysis
    Aboelmaged, Mohamed
    Mouakket, Samar
    INFORMATION PROCESSING & MANAGEMENT, 2020, 57 (04)
  • [19] Big data analytics and machine learning: A retrospective overview and bibliometric analysis
    Zhang, Justin Zuopeng
    Srivastava, Praveen Ranjan
    Sharma, Dheeraj
    Eachempati, Prajwal
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 184
  • [20] The Impact of Big Data In Healthcare Analytics
    Akhtar, Usman
    Lee, Jong Won
    Bilal, Hafiz Syed Muhammad
    Ali, Taqdir
    Khan, Wajahat Ali
    Lee, Sungyoung
    2020 34TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2020), 2020, : 61 - 63