Forthcoming and Online First Articles

International Journal of Electronic Healthcare

International Journal of Electronic Healthcare (IJEH)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Electronic Healthcare (6 papers in press)

Regular Issues

  • Next-Generation Technologies Implicated in Public Health Management of COVID-19 Pandemic   Order a copy of this article
    by Iqbal Hasan, Almas Jabeen, Syed Afzal Murtaza Rizvi 
    Abstract: Digital technologies play a pivotal role in public health management systems adopted worldwide ensuring the integrity of health infrastructure of the nation via reshaping the existing healthcare systems. The incorporation of digital technologies into digital healthcare is the key for administering pandemics like Coronavirus Disease 2019, etc in the best efficient way. However, widespread acceptance of these strategies equipped with digital innovations is still underachieved in some developing and underdeveloped countries. This paper extrapolates the information on existing public health management strategies subsuming modern technological advances adopted in COVID-19 specialized digital healthcare. Moreover, it also provides a consolidated view of India-centric state-of-the-art digitally equipped public health management strategies. This information would support better future formulations and modifications in strategies. Overall, this study provides prospects of public health management strategies with rapid use of digital technological advancements in healthcare for better mitigation of COVID-19 as well as other subsequent pandemics.
    Keywords: Coronavirus Disease 2019; COVID-19; pandemic; SARS-CoV-2; digital technologies; health information systems; health management system; medical big data; artificial intelligence; blockchain technology.
    DOI: 10.1504/IJEH.2023.10053204
  • Use of web-based medication error reporting and management systems in improving medication safety in assisted living facilities: a systematic review   Order a copy of this article
    by Ikedinachi Ogamba, Caleb Ndukwe, Isaac Sarkodie Obeng 
    Abstract: Given the negative health outcomes of medication errors, there is the need to explore the effectiveness of web-based medication error reporting and management systems in improving medication safety. Therefore, this study critically evaluates the literature on this innovation to explore how they have proven effective in reducing the number of medication errors in assisted living facilities. A systematic review of literature following the PRISMA guidelines was used to identify and screen peer-reviewed articles that analysed the use of web-based medication error reporting systems in assisted living facilities. After screening 314 articles, seven were selected for this review. The thematic analysis suggests that the medication reminders and other notifications of the web applications improved medication adherence and led to medication error reduction. Overall, findings indicate that web-based error reporting systems are useful in improving drug safety and medication management in assisted living facilities.
    Keywords: medication errors; assisted living facilities; web-based applications; safety; health technology; management systems; systematic review.
    DOI: 10.1504/IJEH.2023.10050361
  • The digital transformation of Czech healthcare: trends and COVID-19 impact   Order a copy of this article
    by Jana Vlčková, Veronika Klimková 
    Abstract: The COVID-19 pandemic has placed an enormous burden on healthcare systems. The pandemic revealed insufficient digitalisation of Czech healthcare, particularly in terms of interconnectedness of healthcare systems. Before the pandemic, the digitalisation of healthcare was not a priority; thus the E-health Act is still absent. Paperless healthcare was only represented by e-prescription (eRecept) and electronic sick note (e-Neschopenka), with tracking application e-Rouska and electronic medical request for COVID testing (eZadanka) introduced in 2020. The pandemic is expected to accelerate the digitalisation of Czech healthcare supported by funds from the National Recovery Plan. Nonetheless, several projects have been postponed with healthcare priorities being identified elsewhere. Based on a novel approach we analysed emerging medical-related technologies (keywords) in research output (publications, projects, contractual research, patents) among Czech research institutions and firms. In the last decade (2009-2018), the most frequent new technologies (keywords) were those related to genetics (genomic and genetic sequencing), nanomaterials (nanoparticle and nanomedicine), e-health (data processing), and sensors necessary for IoMT. In terms of future business opportunities big data, AI/machine learning and IoMT/wearables are considered to be the three principal transformative digital technologies.
    Keywords: e-health; electronic health; healthcare digitalisation; Czech healthcare; COVID-19; digital transformation; Czechia.
    DOI: 10.1504/IJEH.2023.10052612
  • The effect of perceived risk, technology trust, and technology awareness on the consumer's behavioural intention to adopt online pharmacy   Order a copy of this article
    by Abdullah Ali Alsadoun, Balamurugan Tangiisuran, Yulita Hanum P. Iskandar 
    Abstract: The online pharmacy business in Saudi Arabia is facing a great challenge in adoption. Therefore, this paper aims to examine the factors influencing the adoption of online pharmacy in Saudi Arabia. This study was carried out under the Unified theory of acceptance and usage of technology-2 (UTAUT-2) to examine the perception of customers on adopting online pharmacy. SPSS and structural equation modelling-Smart-PLS are used for data analysis. The main findings showed that technology trust and technological awareness has a significant impact on the behavioural intention of the consumer to adopt online pharmacy. On the other hand, it is found that perceived risk has an insignificant influence on the consumer's behavioural intention. It is recommended to further investigate the effect of other factors influencing online pharmacy adoption in Saudi Arabia such as performance expectancy, effort expectancy, social influence and hedonic motivation.
    Keywords: Saudi Arabia; healthcare; pharmaceutical trade; e-commerce; UTAUT-2.
    DOI: 10.1504/IJEH.2023.10052702
  • Predicting diabetes using Cohen's Kappa blending ensemble learning   Order a copy of this article
    by Isaac Kofi Nti, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Henrietta Pokuaa Adjei 
    Abstract: Diabetes is a well-known risk factor for early mortality and disability. As signatories to the 2030 Agenda for Sustainable Development, Member States set an ambitious objective of a one-third reduction in early death due to non-communicable diseases (NCDs), which includes diabetes. Nonetheless, the current economic impact of diabetes on countries, individuals, and healthcare requires an agent means of its early detection. However, early detection of diabetes with conventional techniques is a considerable challenge for the healthcare industry and physicians. This study proposed a blended ensemble predictive model with Cohen's Kappa correlation-based base-learners selection to decrease unnecessary diabetes-related mortality through early detection. The empirical outcome shows that our proposed predictive model outperformed existing state-of-the-art approaches for predicting diabetes, thus resulting in enhanced diabetes prediction ability.
    Keywords: diabetes; blended ensemble; diabetes prediction; Kappa statistic.
    DOI: 10.1504/IJEH.2023.10052670
  • Integrated e-healthcare management system using machine learning and flask   Order a copy of this article
    by Sanjeev Kumar, Jaya Ojha, Mayank Mani Tripathi, Kirtika Garg 
    Abstract: Healthcare is one of the flourishing sectors in each developed and emerging economy. Due to this vast COVID-19 pandemic, the traditional healthcare system cannot provide adequate facilities due to a lack of interactions between doctors and patients. In such conditions, e-healthcare is contributing towards the accelerating growth within the healthcare industry by providing the latest information technology to support information search and communication processes. Besides this, a machine learning algorithm is used to intensify the smartness of the healthcare industry. The five major components of an e-healthcare system are cost-saving, virtual networking, electronic medical record physician-patient relationships and privacy concerns. Our proposed system provides location-based e-prescribing, e-reports, disease prediction, and suggesting treatments and emergency services with a single click, so it is better than another existing system.
    Keywords: e-healthcare; location-based; disease prediction; treatments; e-reports; e-prescription.
    DOI: 10.1504/IJEH.2023.10052840