Sibanda Khulekani, Ndayizigamiye Patrick, Twinomurinzi Hossana
Department of Applied Information Systems, University of Johannesburg, Johannesburg, South Africa.
Centre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa.
JMIR Pediatr Parent. 2024 Aug 8;7:e47848. doi: 10.2196/47848.
Industry 4.0 (I4.0) technologies have improved operations in health care facilities by optimizing processes, leading to efficient systems and tools to assist health care personnel and patients.
This study investigates the current implementation and impact of I4.0 technologies within maternal health care, explicitly focusing on transforming care processes, treatment methods, and automated pregnancy monitoring. Additionally, it conducts a thematic landscape mapping, offering a nuanced understanding of this emerging field. Building on this analysis, a future research agenda is proposed, highlighting critical areas for future investigations.
A bibliometric analysis of publications retrieved from the Scopus database was conducted to examine how the research into I4.0 technologies in maternal health care 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', and countries' influence on maternal health care; and current trends and thematic evolution were computed using the Bibliometrix R package (R Core Team).
A total of 1003 unique papers in English were retrieved using the search string, and 136 papers were retained after the inclusion and exclusion criteria were implemented, covering 37 years from 1985 to 2022. The annual growth rate of publications was 9.53%, with 88.9% (n=121) of the publications observed in 2016-2022. In the thematic analysis, 4 clusters were identified-artificial neural networks, data mining, machine learning, and the Internet of Things. Artificial intelligence, deep learning, risk prediction, digital health, telemedicine, wearable devices, mobile health care, and cloud computing remained the dominant research themes in 2016-2022.
This bibliometric analysis reviews the state of the art in the evolution and structure of I4.0 technologies in maternal health care and how they may be used to optimize the operational processes. A conceptual framework with 4 performance factors-risk prediction, hospital care, health record management, and self-care-is suggested for process improvement. a research agenda is also proposed for governance, adoption, infrastructure, privacy, and security.
工业4.0（I4.0）技术通过优化流程改善了医疗机构的运营，带来了高效的系统和工具以协助医护人员和患者。
本研究调查I4.0技术在孕产妇保健中的当前实施情况及影响，特别关注护理流程、治疗方法和自动化妊娠监测的转变。此外，进行了主题景观映射，以提供对这一新兴领域的细致理解。基于此分析，提出了未来研究议程，突出了未来调查的关键领域。
对从Scopus数据库检索到的出版物进行文献计量分析，以研究1985年至2022年期间孕产妇保健中I4.0技术的研究如何发展。使用搜索策略，通过摘要和全文阅读筛选符合条件的出版物。使用Bibliometrix R包（R核心团队）计算最具生产力和影响力的期刊；作者、机构和国家对孕产妇保健的影响；以及当前趋势和主题演变。
使用搜索词共检索到1003篇英文独著论文，在实施纳入和排除标准后保留了136篇论文，涵盖1985年至2022年的37年。出版物的年增长率为9.53%，其中88.9%（n = 121）的出版物发表于2016年至2022年。在主题分析中，识别出4个聚类——人工神经网络、数据挖掘、机器学习和物联网。人工智能、深度学习、风险预测、数字健康、远程医疗、可穿戴设备、移动医疗保健和云计算在2016年至2022年期间仍然是主要研究主题。
本文献计量分析回顾了孕产妇保健中I4.0技术的发展现状、结构以及如何用于优化运营流程。建议构建一个包含风险预测、医院护理、健康记录管理和自我护理4个绩效因素的概念框架以改进流程。还提出了关于治理、采用、基础设施、隐私和安全的研究议程。
