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Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model.

A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data.

The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly.

Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking.

This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

The main aim of this paper is to empirically test a model that has central government health expenditure and advancement in medical technology as two separate determinants of economic growth rates in the Pacific island countries (PICs).

The data used in this research have been collected from WHO and ADB database for the periods between 2000 and 2012. The model used to test the main research question is based on the variant Cobb-Douglas production function with constant returns to scale.

This research found that health expenditure has a significant impact on the economic growth rate of the PICs. This study also found that the contemporary level of usage of advanced medical technology in the PICs is relatively low as compared to the total population of the country. If the PICs need to achieve high levels of economic growth rates, governments of the PICs need to improve its expenditure in the health sector. Good and qualified doctors need to be hired and the medical education has to be made more competitive. Improvement in the health services in the PICs will reduce mortality, improve per capita health and improve the national economic welfare of Oceania region.

Data availability was the major limitation in this research. Data were available for only seven PICs.

This research has implications for the academics, practitioners, and policy makers.

The research findings from this research have implications for the society as it shows that health expenditure is positively related to economic growth rates.

In the context of the PICs, no studies have been conducted that have analysed the relationship between health expenditure, medical technology advancement and the economic growth rate of the PICs. This research seeks to build and extend the existing state of research on augmented Cobb-Douglas production function and health economics in the PICs.

The metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field.

The paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria.

A bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field.

The use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.

The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

Taking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.

This research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).

Using performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.

This article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

The purpose of this paper is to explore the attitudes of nursing home administrators and key managerial staff toward health information technology (health IT).

This research is exploratory in nature, and applies qualitative case-study methodology to further understand health IT adoption by nursing homes through multiple in-depth semi-structured interviews of management, and direct observations of employee behavior at each participating facility. A modified Technology Acceptance Model is used to examine the attitudes and perceptions of administrators.

This study finds that there are differences in the level of health IT adoption by nursing homes. While some administrators are aware of health IT and are implementing or updating their IT systems in a gradual but haphazard manner, others exhibited a lack of interest in implementing change. Overall, there is a lack of systematic planning and decision-making toward health IT adoption. Adoption is not evidence-based, instead driven primarily by real and perceived regulatory requirements combined with a lack of information about, or consideration of, the real costs and benefits of implementing health IT.

Including six in-depth case studies, the sample for this study is small for generalizing the findings. Yet, it contributes to the literature on the slow process of health IT adoption by nursing homes. Moreover, the findings provide guidelines for future research.

This study demonstrates that nursing home administrators must systematically plan the adoption of health IT, and such decision making should be evidenced-based and participatory so that employees can voice their opinions that could prevent future resistance.

This study is original and advances knowledge on the reasons for the slow adoption of health IT in nursing homes. It finds that lack of adequate information regarding the utility and benefits of health IT in management adoption decisions can result in haphazard implementation or no adoption at all. This finding has significant value for policy makers’ practitioners for improving accessibility of information regarding the use of health IT in nursing homes that could address the health IT adoption challenge in this industry.

Through an analysis of a demonstration video presenting a new national e‐health portal, this paper aims to explore the assumptions and limitations of the concept of “script” and suggests a different approach to analysing the moral order of technology design.

The paper reviews the work of authors who have written about scripts and scripting, and thereafter analyses a demonstration video with a particular user script. Based on the analysis of the video coupled with material from interviews, observation and analysis of other representations, the paper examines the transformative potential of the portal presentation for reconfiguring relationships between citizens, health care systems, and information and communication technology (ICT). The analysis is guided by Haraway's notion of diffraction.

The analysis demonstrates the particular way in which the user is scripted in an e‐health demo, as a manager of his own health and, consequently, as a good citizen. This is a kind of script that does not directly groom its user, as implied in the notion of script, but rather figures up a probable future user in order to create and manage strategic partnerships that may secure the future of the technology and organisation behind it.

The paper extends the script metaphor beyond a limited designer‐technology‐user configuration and argues that scripts in the paraphernalia of technologies also can and should be “de‐scribed” in understanding the making of the technology and the distributed networks of actors involved.

The paper is a contribution to the discussion on inscriptions in technology and the politics of technology design. Its originality lies in the combined use of notions of script and making things public. Empirically it contributes to the discussion of transformed patient identities following in the wake of implementation and use of ICT in the health care sector.

This study aims to explore whether globalization and technology are harmful to health using a global panel data set of 52 countries over the period 1990–2019.

The study focused on four continents: Africa, the Americas, Asia/Oceania and Europe. The authors used four advanced econometric methodologies, which include the standard panel fixed effect (FE), Arellano–Bover/Blundell–Bond dynamic panel, Hausman–Taylor specification and two-stage least squares (FE-2SLS)/Lewbel-2SLS approaches.

The empirical evidence highlights the significance of globalization and technology in promoting global health. The findings suggest that globalization has various impacts on global health indicators and that technology is useful in tracking, monitoring and promoting global health. In addition, the empirical evidence indicates that a truly health-centred process of globalization and technological innovation can only be realized by ensuring that the interests of countries and vulnerable populations to health risks are adequately considered in international decision-making regarding global economic integration.

The authors suggest that achieving the aspiration of global health will entail the use of globalization and information technology to extend human activities and provide equal access to global health.

Adopting digital technology could facilitate the public health response to the COVID-19 pandemic. Some analysts argue that countries that adopted digital technology in their health sector have managed to control the virus better (Whitelaw et al., 2020). For instance, countries with more comprehensive contact tracing have significantly lower fatality rates (Yalaman et al., 2021). Moreover, World Health Organization (WHO) believes this technology is a crucial enabler for countries to meet the current challenge (WHO. Regional Office for the Western Pacific & University of Melbourne, 2021). In this regard, this study aims to quantitatively find the relationship between the technological advancement of countries and COVID-19 health outcomes, using seven technological indices that measure technological advancement.

The authors used the multiple linear regression method to answer the research questions. The first analysis focuses on a cross section of all countries worldwide, and the second focuses on European countries for which weekly death statistics exist after the pandemic.

The findings support those countries with more technological abilities managed to control the virus’s mortality better, as evidenced by the negative link between the mortality rate of COVID-19 and the technological factors at the national level. Results also reveal that technology adoption decreases the death risk due to COVID-19 in countries with more elderly people. The authors may argue that technological advancement positively correlates with the number of deaths and diagnosed cases because the authors can better collect data or because the virus spreads due to higher economic and business activities. However, such technological advancement significantly decreases the death risk (lower mortality rate in the first analysis and lower mortality rate for elderly people in the second analysis).

Three important conclusions could be made from the results: a lower mortality rate is generally expected for countries adopting advanced technology; technological advancement significantly decreases the death risk for elderly people; and a higher technology adoption level does not necessarily result in fewer diagnosed cases of/death due to COVID-19.

Although some studies have focused on e-health applications in the public health response to the COVID-19 pandemic, no studies, to the best of the authors’ knowledge, have tried to quantify its efficacy, most especially on the global level.

When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi‐criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed‐upon criteria and decision tools to enhance a pre‐existing local health technology assessment (HTA) decision support program.

The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools.

A set of user‐validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent.

This framework can be used by others to develop decision‐making criteria and tools to enhance similar technology adoption programs.

The development of clear, user‐validated criteria for evaluating new technologies adds a critical element to improve decision‐making on technology adoption, and the decision tools ensure consistency, transparency, and real‐world relevance.