Search

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. [ABSTRACT FROM AUTHOR]

The exponential growth of the elderly population poses considerable obstacles to healthcare systems on a global scale, hence requiring the implementation of inventive strategies to identify and mitigate age-related illnesses at an early stage. The primary objective of this study is to explore the use of big data analytics to improve healthcare practices. Specifically, the emphasis is on identifying possible risk factors and developing proactive treatments for senior citizens. The research technique used in this study is based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) declaration of 2020. This approach is utilised to ensure a thorough and transparent review of the relevant literature. Moreover, the use of Rstudio software is prevalent in the field of data processing, statistical analysis, and visualisation. By conducting a comprehensive examination of academic databases and medical literature, this study undertakes an analysis of a collection of pertinent papers to explore the significance of big data analytics in the early diagnosis and prevention of diseases in senior populations. The studies that have been chosen include a wide range of healthcare fields, such as cardiology, neurology, cancer, and geriatrics. This selection aims to provide a thorough comprehension of existing practises and identify any possible areas that may need more attention. The results of this study emphasise the significant impact that big data analytics may have on healthcare for the elderly. Using extensive and varied datasets, sophisticated analytical methodologies such as machine learning algorithms and data mining allow the detection of nuanced patterns and correlations that might function as precursors for age-related ailments. [ABSTRACT FROM AUTHOR]

A decentralised, tamper-proof ledger offered by blockchain technology has the potential to revolutionise the manufacturing sector by enhancing digital rights management, supply chain management, and product monitoring and tracking. Industrial supply chains may be made more transparent, secure, and efficient with the use of blockchain technology. This will save costs, boost quality control, and raise consumer confidence that the goods they buy are genuine and high calibre. However, there is a research gap in the implications of blockchain technology in the manufacturing sector. The aim of this research was to investigate the challenges and opportunities of blockchain technologies in the manufacturing sector. In order to accomplish the study's goal, a two-stage systematic literature review technique was used, with the PRISMA framework being used to gather pertinent data from reliable sources like Scopus. The study contained 117 research papers, which were analysed using descriptive and scientometric methods and lysis to synthesise the literature and investigate important research clusters using the centrality and co-occurrence of keywords. The study's conclusions point to the potential of blockchain technology to support decentralised manufacturing systems that provide risk-free and trustworthy cooperation among multiple stakeholders. The report also discusses the advantages and drawbacks of using blockchain in manufacturing and offers information on recent developments in the field of digital manufacturing that are related to blockchain technology. This study emphasises the value of blockchain technology for the industrial sector and the need for more research to fully understand its potential. Blockchain technology may help the manufacturing industry become more effective, transparent, and quality assured while also reducing costs and fostering better confidence among supply chain actors. [ABSTRACT FROM AUTHOR]

For today's healthcare data management systems, fundamental problems are data transparency, traceability, immutability, audit, data provenance, flexible access, trust, privacy, and security. Blockchain is a promising technology that can help to optimise healthcare data management operations by increasing data efficiency and ensuring trust. The current study examined the usefulness of blockchain technology in healthcare and the barriers to adoption. Finally, we looked at the future of blockchain technology in healthcare. The current study reviewed 53 papers and utilised the PRISMA framework 2020 to include and exclude records from the Scopus database. The VOS Viewer software is used to categorize the published literature, and the prevalence of essential terms is often used to authenticate the main themes in classifications. The current study findings indicate that Blockchain offers a wide range of applications and functions in healthcare. By allowing the transfer of patient medical information, controlling the medication supply chain, and facilitating the safe transfer of patient medical records, blockchain technology assists healthcare researchers in discovering genetic codes. Because blockchain can support novel analytics, healthcare firms may notice changes in their data in real-time, allowing them to make swift choices without human involvement. [ABSTRACT FROM AUTHOR]

Distress and mental health issues among students during the Covid19 pandemic are emerging in reviews. Surprisingly, while some studies argued that online learning was one of the causes that harm student mental health, like stress, anxiety, or depression, others indicated that a digital platform is one effective invention to design and develop an online program for improving learners' mental health care. This study aims to the discussion of two sides the application of online learning involved in learner mental health issues, explaining the causes of reasons and giving a recommendation for stakeholders in further discussion and implication. The literature was accessed from Scopus and web of science databases covering research published between 2019 and 2022, and 20 items were analyzed to reach the objectives. The bibliometric analysis identifies the cluster themes based on texting frequency. The vital steps of data classification follow thoughtfully and carefully in the platform of concept, findings, author's reputation, and years published. In the last conclusions of the study, reports explain the past literature and recent outbreak. The results cover two main themes: The effects of online learning on students' mental health issues and online learning solutions to assist mental health care learners. These findings are expected to benefit stakeholders involved in online learning and mental health care for learners and the community. [ABSTRACT FROM AUTHOR]

Digital technologies hold great promise and have the ability to change healthcare and drug development by changing the way we collect, process, and visualize health data. The implementation of digital technologies in healthcare can make public healthcare more accessible and flexible. This includes patient’s treatment, complications, open data on health, latest biomedical research developments, among other things. Medical services and diagnostic tools are becoming more accessible and available, even in less developed economies. However numerous issues concerning digital health technologies, such as safety, testing, reliability, and ethical considerations, remain unresolved. The study aims to discuss and analyze the recent progress in the application of digital healthcare such as ICT, smart/wearable devices, artificial intelligence, big data, and telemedicine in healthcare. Scopus database was used for the publication search. We merged descriptive analysis and bibliometric analysis to determine the temporal evolution, most productive journals, top authors, most productive countries, and co-occurrence of keywords (to identify well-explored topics) in the available scientific literature concerning digital technology in the healthcare field. Using content analysis, we have determined the research hotspots of the scientific publications during the past five years. [ABSTRACT FROM AUTHOR]

The purpose of the paper was to explore the central keyword searched (e.g., mobile healthcare). It also aimed at identifying the valuable contributions made by authors, journals, countries, and institutions and their associations in ‘mobile healthcare’ search around the world. Data was extracted from 2012 to 2020 by using Scopus database and analysed through VOSviewer software and MS Excel. PRISMA guidelines were used to screen the records. Coauthorship, Co-occurrence, Bibliographic Coupling and Co-citation analysis were executed to identify the links and collaborations among the authors, countries, author keywords and documents globally. Results showed that Yang X. had the highest association with other authors and Sood, S.K. had published more documents than others. Australia was found to have the highest association with other countries, and India was leading other countries in publications. Computers and Electrical Engineering was found to be the leading journal in publication of documents. This study, to best of our knowledge, was the first of its kind in mapping the ‘mobile healthcare’ search which was designed till 2020. This will aid in shaping and understanding the central theme and set the future research directions for the researchers. [ABSTRACT FROM AUTHOR]