A Bibliometric Analysis of Industry 4.0 and Health-Care Services

Title

A Bibliometric Analysis of Industry 4.0 and Health-Care Services

Creator

Praveen Kumar T.; Saha S.K.; Sharma K.; Jha A.

Description

A key moment in health care is marked by the Fourth Industrial Revolution, commonly referred to as Industry 4.0. This transformation, driven by the convergence of digital technologies with automation and data driving processes, has led to a paradigm shift in how health care is provided. The integration of the emerging technologies in Industry 4.0, such as Internet of Things, Artificial Intelligence, Big Data Analytics and Advanced Robots, are revolutionizing patient care, improving resource allocation and shaping research's landscape. To learn more about the ever-evolving relationship between Industry 4.0 and health care, this research paper begins with a bibliographic analysis. In this interdisciplinary convergence, our bibliometric analyses serve as a lens through which we can see the key trends, research areas and influential players. The review of literature highlights the profound impact of Industry 4.0 on health care, revealing that Internet of Things technologies for real-time patient tracking, proliferation of artificial intelligence in medical diagnosis and transforming power of big data Analytics are changing health care decision making. Methodologically, we leverage bibliometrics as a quantitative analytical tool, drawing on citation counts, bibliographic coupling, and keyword co-occurrence analysis. The data for this analysis, which covered the period 20152023, was carefully collected from Scopus database. The analysis of the information reveals that, particularly from 2018 onwards, there has been a significant increase in publications concerning Industry 4.0 and health care. In this research landscape India has emerged as a strong contributor, with countries such as the United States and Italy making significant progress. Publication trends and bibliographic coupling among countries and sources shed light on collaborative networks and research focus. The emergence of machine learning, artificial intelligence and data analysis as important themes is illustrated by a co-occurrence analysis of keywords that elucidates evolving research interests. In the complicated terrain of health care converging with Industry 4.0, this research paper serves as a compass. The report highlights this convergence's transformative potential, highlighting the pivotal role that bibliometrics analysis must play in determining future research areas in adopting Industry 4.0 in the health-care sector. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Electrical Engineering, Vol-1243 LNEE, pp. 337-346.

Date

2025-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Bibliometric analysis; Health care; Industry 4.0; IoT; Technology adoption

Coverage

Praveen Kumar T., CHRIST University, Bengaluru, India; Saha S.K., CHRIST University, Bengaluru, India; Sharma K., Sikkim Manipal Institute of Technology, Majitar, India; Jha A., Sikkim Manipal Institute of Technology, Majitar, India

Rights

Restricted Access

Relation

ISSN: 18761100; ISBN: 978-981976464-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-6465-5_27

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215812067&doi=10.1007%2f978-981-97-6465-5_27&partnerID=40&md5=48bef4440d785e887cb617e49f477c1c