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Purpose – Use of telemedicine is increasingly prevalent in order to provide better access to expert care, and we examine telemedicine use internationally.

Design/methodology – Using Donabedian's structure, process outcome framework, we conduct an analysis of published studies in the United States, Europe, and Asia to examine the uses, conditions treated, barriers, and future of telemedicine.

Findings – We identify several similarities and challenges to telemedicine use in each region. We find use of videoconferencing between providers or providers and patients for the treatment of acute and chronic conditions. Studies in the United States are more likely to identify applications for the use of chronic conditions, whereas studies in Europe or Asia are more likely to use them for acute access to expertise. Each region reported comparable challenges in reimbursement, liability, technology, and provider licensing.

Research limitations – We compare available research articles from three diverse regions, and many of the articles were merely descriptive in nature. Furthermore, the number of articles per region varied.

Practical implications – Barriers to telemedicine use include a lack of reimbursement, language commonality, technological availability, physician licensure or credentialing, trained support staff and patient privacy, and security assurances. Practitioners and policy makers should work to address these barriers.

Originality/value – Through this work, a summary of the research to date describes telemedicine use in the United States, Asia, and Europe. Identification of use and barriers may provide impetus for improving access to care by finding ways to increase telemedicine use through standardization.

This study aims to explore how knowledge management (KM) influences the intellectual capital (IC) of organizations operating in health care and how IC and knowledge-sharing (KS) can contribute to the achievement of sustainable development in health systems. Notably, this study focuses on telemedicine, investigating how relational capital contributes to KS in the context of remote care services.

To comply with the paper’s aim, the authors use a qualitative research method based on a polar case study suitable for IC in health-care studies. More precisely, this study analyzes a nonprofit organization that, for over 15 years, has offered a free multispecialist teleconsultation service to answer medical questions from the most disadvantaged places in the world.

The findings show that the KM significantly contributes to the IC of organizations. Indeed, it improves the data management and transmission system, it increases performance flexibility in times of resource scarcity without compromising business objectives and it can attract new human resources even when not motivated by selfish goals (volunteer physicians).

This research contributes to studies on IC in health care by focusing on the contribution of telemedicine to the creation of IC. In particular, this work emphasizes the ability of telemedicine to develop and share knowledge in disadvantaged areas of the world. Moreover, in the current context, still strongly permeated by the health emergency generated by the pandemic and recently by the war in Eastern Europe, the importance of such assistance and diagnosis grows.

The conclusions the research findings lead may guide policymakers toward a policy supporting telemedicine. It would alleviate general health-care costs and completely revolutionize light health care’s role. Moreover, reducing socioeconomic distances, improving access to care and applying innovative technologies for sharing outcomes foster balanced socioeconomic development and knowledge dissemination.

This research has shown how telemedicine represents a new successful business model even in times of crisis. The organizational model makes it possible to offer cutting-edge specialized care, contain costs, easily reach disadvantaged areas of the planet, strengthen the skills and autonomy of the most backward countries through a process of KS and push the structures operating there to interact with those in advanced countries.

Telemedicine is delivered to patient anywhere during emergency treatment care, and medical information is transferred from one site of patient to another site of specialist doctors by using mobile internet communication. Some rural areas have slow internet speed because of weak internet signal propagation from mobile towers. A good design of antenna is needed to improve mobile internet speed for big medial data transmission in telemedicine application. Hence, this paper aims to propose economically low-cost design of antenna.

Telemedicine recommended to design the satellite frequency modulation dish (SAT FMD) antenna ( where in FM radio antenna, dish antenna are combined ) to improve the internet speed at Telemedicine system and Hospitals for purpose of Telemedicine communication and information for emergency treatment.

In the proposed system, designed SAT FMD satellite-based antenna improved internet speed is achieved at 90.6% accuracy in this research method. Finding latitude and longitude angles to identify the patient location, nearest hospitals location and finding distance, shortest path routing between patient and hospital. Finding elevation, Azimuth, latitude, longitude, skew for alignment dish to focus satellite and mobile cell tower to improve internet speed at telemedicine area and hospitals and reduced transmission delay and nodal delay of big medical data.

The social awareness among people can be shared information of accident patient to communicate Hospital and Ambulance driver by internet mobile app tools and help find nearest hospitals to emergency treatment for accident people.

This paper presents SAT FMD antenna model based on satellite dish antenna consisting of FM radio receiver antenna and dish antenna for telemedicine communication.

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.

This study attempts to gain insight into what factors influence individual behavior towards the adoption of telemedicine application during coronavirus disease 2019 (COVID-19) pandemic. The research model incorporates two well-known theories namely the extended unified theory of acceptance and use of technology (UTAUT2) and DeLone and McLean information success model to examine individual behavior towards the adoption of telemedicine application.

The research design of this study is based on quantitative research approach. During research survey, 350 valid responses were received from Pakistani citizens and examined to understand citizen's behavior towards the adoption of telemedicine applications. The research model was empirically tested with the latest statistical approach namely variance-based structural equation modeling (VB-SEM).

The results of the structural equation modeling have revealed that altogether performance expectancy, social influence, effort expectancy, facilitating condition, habit, hedonic motivation, price values, information quality, system quality and service quality explained 77.9% variance in determining user behavior towards adoption of telemedicine application. The predictive relevance of the research model was found substantial in measuring user behavior to adopt telemedicine applications. The research framework is further extended with moderating role of perceived severity between the relationship of user intention and actual usage behavior. Results confirmed that the positive relationship between intention to adopt telemedicine health application and usage behavior will be stronger when perceived severity is higher.

Theoretically, this study integrates extended UTAUT2 and DeLone and McLean information success model and contributes to e-health literature. Practically, this research suggests that by improving user performance expectancy and effort expectancy, managers and healthcare professionals can boost user confidence towards the adoption of telemedicine applications.

This study is unique as it integrates the extended UTAUT2 with DeLone and McLean information success model and perceived severity to investigate user behavior towards adoption of telemedicine application during COVID-19 pandemic. Additionally, the integration of theories contributes to information system literature in the context of the adoption of telemedicine applications.

As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT.

An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses.

The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same.

As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT.

Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.

The purpose of this paper is to study the phenomenon of abrupt shift by both doctors and patients to telemedicine during the coronavirus (COVID-19) pandemic and associated economic lockdown in India. The study explored various drivers of telemedicine technology awareness, adoption and usage. These drives were studied from both the doctors and the patients’ perspectives using the Push–Pull–Mooring (PPM) theoretical model.

An exploratory qualitative research was carried out with 24 doctors and 32 patients. This research was conducted in major urban cities of India. It was carried out during the economic lockdown due to the COVID-19 pandemic. The data was collected based upon a semi-structured open-ended questionnaire using telephonic interviews. Once thematic saturation was achieved, thematic content analysis was conducted. Finally, the themes were classified and analyzed using the PPM theoretical model

The data analysis indicated that there was the presence of all three factors, namely, push, pull and mooring. For the doctors, pull and push factors were more substantive than mooring factors. Although for the patients push and mooring factors were more important and pressing than pull factors.

This study was conducted during the COVID-19 pandemic and associated economic lockdown in India. The interview respondents were located only in urban India. Future studies could be conducted to explore similarities and differences in telemedicine adoption patterns during non-crisis times vis-a-vis crisis times in urban and rural settings.

The insights from this study could be used by medical service providers to leverage telemedicine technology to improve the business model, service delivery, pricing strategy, value proposition and behavioral characteristics. Patients on the other hand could gather perspectives regarding how best to use telemedicine technological services.

The authors provided an integrated perspective regarding telemedicine technology awareness, adoption and usage in an emerging economy of India during the critical times of the COVID-19 pandemic crisis and the associated prolonged economic lockdown. This was one of the first studies that applied PPM theory for telemedicine adoption

The purpose of this paper is to provide a conceptual framework along with underlying propositions for the design and deployment of telemedicine projects which provide healthcare organizations with strategic benefits.

Field research conducted at four healthcare organizations along with academic literature in the areas of telemedicine and process management form the basis for the conceptual framework and propositions provided in this paper.

Telemedicine can be used as a process enabler for enhanced healthcare‐delivery systems. However, there are several challenges which must be considered prior to its implementation. The framework and propositions provided in the paper can be used to facilitate successful telemedicine project deployments.

The framework and propositions are derived from a small sample and must be validated through more rigorous empirical research studies.

The concepts presented in the paper can be used by healthcare planners to increase the likelihood of telemedicine deployment success within their organizations.

This paper begins to fill a void in the literature concerning how telemedicine can be used as a process enabler for improving healthcare‐delivery systems.

This innovative analysis aims to quantify the use of evaluation criteria in telemedicine and to identify current trends in metric adoption. The focus is to determine the frequency of actual performance metric reporting in telemedicine evaluation, in contrast to systematic reviews where assessment of study quality is the goal.

Automated literature search identified telemedicine studies reporting quantitative performance metrics. Studies were classified by telemedicine class; store‐and‐forward (SAF), real‐time consultation (RTC) and telecare (TC), and study stage. Studies were scanned for evaluation metric reporting, i.e. clinical outcomes, satisfaction, patient quality and cost measures.

Evaluation metric use was compared among telemedicine classes, and between pilot and routine use stages. Diagnostic accuracy was reported significantly more frequently in pilots for RTC and TC. Cost measures were more frequently reported in routine use for TC. Clinical effectiveness and hospital attendance were better reported in routine use for SAF. Comparison also revealed different evaluation strategies. In pilots, SAF favoured diagnostic accuracy, compared to RTC and TC. TC preferred clinical effectiveness evaluations and TC more frequently assessed patient satisfaction. Cost was only reported in less than 20 per cent of studies, but most frequently in RTC. Routine use led to increased reporting of all metrics, except diagnostic accuracy. Clinical effectiveness reporting increased significantly with routine use for RTC and SAF, but declined for TC.

Clinical outcomes and patient satisfaction were reported frequently in telemedicine studies, but reporting of other performance metrics was rare. Understanding current trends in metric reporting will facilitate better design of future telemedicine evaluations.

This study aimed to determine the impact of telemedicine with WhatsApp on adherence to treatment plans amongst patients who have experienced oral and maxillofacial surgeries like implants, wisdom tooth removal, facial trauma and facial reconstruction.

The researchers used a descriptive survey research design and sampled a total of 294 patients in Nigeria who experienced oral and maxillofacial surgeries 6 months before the study and provided responses that were used for analysis. The questionnaire was used as the instrument for data collection.

The researchers found that telemedicine for counselling after oral and maxillofacial surgeries have a significant relationship with adherence to the treatment plan. The analysis revealed a significant interactive effect of telemedicine competence F(3,290) 11.423, p = 001 ? p2 = 0.038. The more skilful patients are at telemedicine, the more likely they are to engage in it and vice versa. The participants also preferred a combination of live and recorded interaction forms. It was also found that a combination of different message forms, like audio, text and video, predicts satisfaction with telemedicine.

This study has shown that social media are now playing important roles in health care delivery to patients, and this may continue to expand as societies evolve.