Accepted for/Published in: JMIR Pediatrics and Parenting
Date Submitted: Apr 4, 2023
Date Accepted: Mar 12, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Industry 4.0 in Maternal in Healthcare: A Bibliometric Analysis and Research Agenda
ABSTRACT
Background:
Industry 4.0 technologies have improved operations in healthcare facilities by optimising processes leading to efficient systems and tools to assist healthcare personnel and patients.
Objective:
This paper explores the state of the art of adopting Industry 4.0 technologies within the context of maternal healthcare, how they transform care processes and treatment methods, and automate pregnancy monitoring. Further, thematic mapping of the landscape of Industry 4.0 technologies in maternal healthcare is carried out. A research agenda is also developed for future research direction.
Methods:
A bibliometric analysis of publications retrieved from the Scopus database was conducted to examine how the research into Industry 4.0 technologies in maternal healthcare evolved from 1985 to 2022. A search strategy was used to screen the eligible publications using the abstract and full-text reading. The most productive and influential journals, authors, institutions, country influence in maternal healthcare, current trends, and thematic evolution were computed using Bibliometrix R Package.
Results:
A total of 1003 unique papers in English were retrieved using the search string, and 136 papers were retained after the implementation of the inclusion and exclusion criteria, covering 37 years from 1985 to 2022. The annual growth rate of publications was 9.53 %, with 89 % (121) of the publications observed in 2016-2022. In thematic analysis, four clusters were identified, Artificial neural networks, Data mining, Machine learning, and IoT. Artificial intelligence, deep learning, risk prediction, digital health, telemedicine, wearable devices, m-healthcare, and cloud computing have remained the dominant research themes in the 2016 – 2022 period.
Conclusions:
This bibliometric analysis reviews the state of the art in the evolution and structure of Industry 4.0 technologies in maternal healthcare and how they may be used to optimise the operational processes. A conceptual framework with four performance factors, risk prediction, hospital care, health record management, and self-care, is suggested for process improvement. Also proposed is a research agenda for governance, adoption, infrastructure, privacy, and security.
Citation
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Copyright
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