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Health service quality is an important determinant for health service satisfaction and behavioral intentions. The purpose of this paper is to investigate requirements of e‐health services and to develop a measurement model to analyze the construct of “perceived e‐health service quality.”

The paper adapts the C‐OAR‐SE procedure for scale development by Rossiter. The focal aspect is the “physician‐patient relationship” which forms the core dyad in the healthcare service provision. Several in‐depth interviews were conducted in Switzerland; first with six patients (as raters), followed by two experts of the healthcare system (as judges). Based on the results and an extensive literature research, the classification of object and attributes is developed for this model.

The construct e‐health service quality can be described as an abstract formative object and is operationalized with 13 items: accessibility, competence, information, usability/user friendliness, security, system integration, trust, individualization, empathy, ethical conduct, degree of performance, reliability, and ability to respond.

Limitations include the number of interviews with patients and experts as well as critical issues associated with C‐OAR‐SE. More empirical research is needed to confirm the quality indicators of e‐health services.

Health care providers can utilize the results for the evaluation of their service quality. Practitioners can use the hierarchical structure to measure service quality at different levels. The model provides a diagnostic tool to identify poor and/or excellent performance with regard to the e‐service delivery.

The paper contributes to knowledge with regard to the measurement of e‐health quality and improves the understanding of how customers evaluate the quality of e‐health services.

This study aims to explore the different dimensions of e-healthcare ethics and their relationships, influencing the ethical concerns of the consumer in making ethical e-healthcare choices.

A study was conducted at two identified major hospitals of Punjab (a private hospital) and Chandigarh (a public hospital), India providing e-healthcare services with the help of a self-administered questionnaire. The respondents were identified from the waiting areas of the selected hospitals, and only those respondents were selected for the study, who agreed to be aware of e-health services and were using them for some time. The statistical analysis was done using the structural equation modeling technique and included both exploratory and confirmatory factor analysis using SPSS 20 and AMOS 21.

Exploratory factor analysis extracted five dimensions of ethical concerns of the consumer, which include service promotion, content quality, candor, professionalism and confidentiality. The results signify that content quality plays a significant role in ethics, followed by candor, service promotion and confidentiality. However, the relationship with professionalism did not prove to be significant for the ethical concerns of the e-health consumer.

This research delivers a practical significance in identifying the critical dimensions of the ethical concerns of the consumer while selecting e-health services. It gives an insight into the various dimensions, which should be considered by the e-health providers while crafting e-health services to make it more ethically acceptable by the consumers.

By using e-health services, consumers play an active role in their health-care decisions. The consumers need to consider ethics while choosing health-care services as an ethical judgment will also be the correct judgment. This study helps in the identification of the significant dimensions for the ethical concerns of the consumers.

The purpose of this paper is to explore the user's perspective in evaluating e‐health services and to present evaluation criteria that influence users' utilization and satisfaction of e‐health services.

The paper is based on two lines of studies relating to the behaviour of users of new products or services and on broad examining and critical analysis of the existing evaluations initiatives in e‐governments services generally but also particularly in an e‐health context.

The paper argues that e‐health services evaluation frameworks should be criteria‐based, while the criteria can be grounded in, and derived from, one or more specific perspectives or theories, and cannot be entirely framed within the bounds of a single theory or perspective. The paper suggests an evaluation framework for e‐health services and provides a set of clear and useful e‐health evaluation criteria that can be accommodated by such a framework.

The limitation of this paper lies in the absence of empirical validation and examination of the proposed evaluation criteria that have not yet been applied in the fieldwork. Hence, the proposed criteria require an empirical validation which will be performed by the authors in the next stage of this research using a multiple case study strategy and will form the basis for further research.

The proposed evaluation criteria can be used to help achieve better user services utilization, to serve as part of an e‐health evaluation framework, and to address areas that require further attention in the development of future e‐health initiatives.

The paper presents a well‐argued and balanced hierarchy of evaluation criteria that can contribute to an area of research which is still in its infancy in terms of development and management.

Technology has revolutionized the delivery of health-care services, with e-consultations becoming popular mode of service delivery, especially during the pandemic. Extant research has examined the adoption of e-health consultation services, with little attention paid to examine the switching behavior. This study aims to identify factors affecting patients’ intentions to switch from conventional mode i.e. visiting hospitals/clinics to e-health consultations.

To understand this we use the push–pull–mooring (PPM) framework and integrate variables from status quo bias framework to the model. A cross-section research design was used, which rendered 413 valid responses which were obtained from the patients visiting a traditional hospital setup. The data was analyzed using partial least square – structural equation modeling using SmartPLS 3.0.

Findings suggest that push effects (inconvenience and perceived risk), pull effects (opportunity for alternatives and ubiquitous care), mooring effects (trust) and inertia significantly influence patients’ switching intentions from visiting hospitals/clinics to e-health consultations. Further, habit and switching cost positively influence inertia.

This study shall enable online health-care service providers and practitioners to understand patients’ intentions to switch to online health platforms and accordingly develop related marketing strategies, services and policies to encourage them to switch to the new offerings.

The current study enriches the previous research on e-health services by applying and extending PPM framework as the base model and showing its efficiency in predicting individuals switching intentions in the context of emerging economies. This study bridges the gap by focusing on switching behavior in context of health services.

This paper aims to introduce the goal-oriented requirements extraction approach (GOREA). It is an elicitation approach that uses, specifically, healthcare business goals to derive the requirements of e-health system to be developed.

GOREA consists of two major phases: (1) modelling e-health business requirements phase and (2) modelling e-health information technology (IT) and systems requirements phase. The modelling e-health business requirements phase is divided into two main stages: (1) model e-health business strategy stage and (2) model e-health business environment stage. The modelling e-health IT and systems requirements phase illustrates the process of obtaining requirements of e-health system from the organizational goals that are determined in the previous phase. It consists of four main steps that deal with business goals of e-health system: (1) modelling e-health business process (BP) step; (2) modelling e-health business goals step; (3) analysing e-health business goals step; and (4) eliciting e-health system requirements step. A case study based on the basic operations and services in hospital emergency unit for checking patient against COVID-19 virus and taking its diagnostic testing has been set and used to examine the validity of the proposed approach by achieving the conformance of the developed system to the business goals.

The results indicate that (1) the proposed GOREA has a positive influence on the system implementation according to e-health business expectations; and (2) it can successfully fulfil the need of e-health business in order to save the citizens life by checking them against COVID-19 virus.

The proposed approach has some limitations. For example, it is only validated using one e-health business goal and thus it has to be authenticated with different e-health business goals in order to address different e-health problems.

Many e-health projects and innovations are not established based on robust system requirements engineering phase. In order to ensure the success delivery of e-health services, all characteristics of e-health systems and applications must be understood in terms of technological perspectives as well as the all system requirements.

Modern e‐health systems incorporate different healthcare providers in one system and provide an electronic platform to share medical information efficiently. In cross‐context communications between healthcare providers, the same information can be interpreted as different types or values, so that one patient will be issued different identifiers by different healthcare providers. This paper aims to provide a solution to ensure interoperability so that multiple healthcare providers will be able to collaborate in one e‐health system.

This paper primarily focuses on how different healthcare providers, instead of the patients, are able to interact and share information on a common e‐health platform.

In the course of the work, it was found that previous e‐health solutions mainly have a limited view of patient information, where a user‐centric approach for identity management is usually restricted to a single healthcare provider. Interoperability in an e‐health system becomes more problematic when more actors collaborate, and hence linkability from one context to another should not be straightforward. However, some form of linkability, such as the possibility to follow up a patient's medical treatment, is desirable in the e‐health sector, even when it needs to cross different contexts. Therefore, the authors have designed an identity management mechanism to ensure semantic interoperability when data is exchanged among different authorized healthcare providers.

The paper points out that the next generation of e‐health will move towards federated e‐health and will require user‐centricity and transparency properties so that patients are able to specify and verify the disclosure of their medical information.

This paper proposes a new service for cross‐context identity management in e‐health systems, improving interoperability between agencies when context‐specific information is transferred from one healthcare provider to another. How the proposed cross‐context identity management service can be integrated in an e‐health system is explained with a use case scenario.

The move toward e-health care in various countries is envisaged to reduce the cost of provision of health care, improve the quality of care and reduce medical errors. The most significant problem is the protection of patients’ data privacy. If the patients are reluctant or refuse to participate in health care system due to lack of privacy laws and regulations, the benefit of the full-fledged e-health care system cannot be materialized. The purpose of this paper is to investigate the available e-health data privacy protection laws and the perception of the people using the e-health care facilities.

The researchers used content analysis to analyze the availability and comprehensive nature of the laws and regulations. The researchers also used survey method. Participants in the study comprised of health care professionals (n=46) and health care users (n=187) who are based in the Dubai, United Arab Emirates. The researchers applied descriptive statistics mechanisms and correlational analysis to analyze the data in the survey.

The content analysis revealed that the available health data protection laws are limited in scope. The survey results, however, showed that the respondents felt that they could trust the e-health services systems offered in the UAE as the data collected is protected, the rights are not violated. The research also revealed that there was no significance difference between the nationality and the privacy data statements. All the nationality agreed that there is protection in place for the protection of e-health data. There was no significance difference between the demographic data sets and the many data protection principles.

The findings on the users’ perception could help to evaluate the success in realizing current strategies and an action plan of benchmarking could be introduced.

This research explores the factors that influence patients' willingness to seek digital health advice in developing countries like India by extending the unified theory of acceptance and use of technology (UTAUT) with perceived risk (PR) and trust.

Structural equation modeling (SEM) was used to test the hypotheses proposed for this study. The primary data for this study were acquired from 578 respondents using a judgmental sampling procedure.

Results of this investigation reflected a positive and significant connexion of the intention of a patient towards e-health consultation with effort expectancy (EE), performance expectancy (PE), trust and social influence (SI); conversely, factors like facilitating condition (FC) and PR are not significantly connected with the same.

The findings of this study will not only add to the existing literature on the behavioral intention (BI) by introducing new dimensions in the context of digital health consultation, but they will also aid service providers in developing strategies to encourage the use of e-health consultation services in emerging economies such as India.

The purpose of this paper is to assess the relationship between elderly people's health literacy skills and those people's decision to make use of digital health service platforms. Despite the substantial influence of digitisation on the delivery of healthcare services, understanding how health intervention strategies might help empower elderly people's health literacy skills is critical.

This paper analyses the existing trends in research on the convergence of health literacy, health intervention programmes and digital health service platforms by reviewing 34 studies published between 2000 and 2020.

The findings of the review indicate three primary themes (health literacy skills, health management competency and attitude/confidence), which provide a summary of the current literature, and in all three the results show that health intervention programmes help to enhance health literacy skills of elderly people. Based on the review results and by organising the fragmented status quo of health intervention research, the authors develop a comprehensive research model and identify future research directions for research in this domain.

The findings will be useful to health professionals in two ways: (1) the findings provide practical information about the growing need to implement health literacy intervention programmes to satisfy elderly people's appetite for accessing health services due to cognitive and physiological impairments, and (2) the finding help them to understand that with digital health platforms, elderly people have quicker access to health services, improving the quality of care provided to them.

This paper presents a comprehensive research model for analysing the impact of health literacy skills on older people's ability and intention to access digital health information sources, considering various health intervention approaches.

Over recent years, few industries have seen such dramatic changes as the healthcare industry. The potential connectivity of digital technologies is completely transforming the healthcare ecosystem. This has resulted in companies increasingly investing in digital transformations to exploit data across channels, operations and patient outreach, by building on a practice approach and actor-network theory and being informed by service-dominant logic, this study aims to contribute by advancing the agential role of third-party actors to prompt innovation and shape service ecosystems.

This research is grounded in an epistemological contextualism. To gain situated knowledge and address the role of context in knowledge, understanding and meaning the authors adopted a qualitative methodology to study actors in their different contexts. The empirical research was based on case theory. The authors also took guidance from practice scholars about how to investigate actors’ practices. The unit of analysis moves from dyadic relationships to focus on practices across different networks of actors.

This study expands on the conceptualization of triad as proposed by Siltaloppi and Vargo (2017) by moving from the form of triadic relationships – brokerage, mediation and coalition – to the agency of e-health third-parties; and their practices to innovate in the healthcare ecosystem. This study focuses on the actors and the performativity of actions and grounding the conceptual view on an empirical base.

Third-party actors bring about innovative ways of doing business in the healthcare ecosystem. Their actions challenge the status quo and run counter to long-time practices. Third-parties support the complex set of interconnections between different healthcare actors for the provision of new service co-creation opportunities. Considering how these e-health third-parties performs has implications for health managers, patients and other actors.

This study focuses on the actors and the performativity of actions and grounding the conceptual view on an empirical base. The agency of third-party actors is their ability to act among others and to connect multiple social and material structures to boost innovation. They prompt innovation and shape service ecosystems by brokering, mediating and coalescing among a great variety of resources, practices and institutions.