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Impact of Big Data on Nursing Work and Application Prospects

  • Conference paper
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2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1398))

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Abstract

The development of big data technology has brought tremendous changes to people’s lives, affecting people’s food, clothing, housing and transportation, especially for the medical industry is a brand new change. In traditional nursing work, there are problems such as low work efficiency, easy to miss patient information during handover, and long handover time. However, with the assistance of big data technology, these problems can be solved well and the original nursing care can be changed. The shortcomings in the work provide a new nursing work model. Based on this, this article proposes a research based on the impact of big data on nursing work and its application prospects, using literature data method, questionnaire survey method and experimental analysis method to explore the impact on nursing work on the basis of big data theory. This article designs an experimental study on its impact on nursing work based on big data, and explores its impact from two different perspectives: patients and nursing staff. The application of big data can improve the efficiency of nursing work, especially the time efficiency of statistics and drawing increased by 76.20% and 72.02% respectively. And the overall satisfaction of patients with it reached 85.3%, and the satisfaction of nursing professionals with the application of this technology reached 93.6%. In general, the application of big data has brought a positive impact on nursing work, and the mature application of this technology in the future will better promote the modernization and informatization of nursing work.

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Authors and Affiliations

  1. Affiliated Hospital Nanyang Institute of Technology, Nanyang, 473004, Henan, China

    Ke Bai

Authors
  1. Ke Bai
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Correspondence to Ke Bai .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Buil, Deakin University, Geelong, VIC, Australia

    Jemal Abawajy

  2. School of Computer Engineering and Sciences, Shanghai University, Shanghai, China

    Zheng Xu

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

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Bai, K. (2021). Impact of Big Data on Nursing Work and Application Prospects. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_114

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