Search results

The purpose of this research is to examine the potential of e‐health by focusing explicitly on the delivery of health care products and services. The examination of e‐health activity is guided by one broad research question, “What is the potential for constructing e‐health strategy as an innovative health technology?”. A great amount of attention has been given to e‐health activity in the present day. However important this form of e‐health is, this type of service simply does not face the same constraints that must be addressed by those actually delivering health care services.

The researchers employed a qualitative data collection technique to formulate more examples and cases to derive lessons for Jordan. Phone interviews in a random sample were conducted with corporate officers in Jordan in order to reveal the internal organizational structure and business trends, interface issues, marketing strategies, as well as comparing and contrasting the online health world to the traditional health care realm.

Internet‐related projects is a top priority for health care information technology executives in the present day, with a cautious approach toward “e‐health”, as many products have yet to mature, and that the “click and mortar” model may perhaps be the optimal strategy for e‐health in Jordan.

This paper reviews the e‐health trends to demonstrate the tremendous potential for health‐related commercial activity on the internet. However, the researcher examining the barriers facing e‐health to the Jordanian health system also pointed out almost insurmountable challenges.

Despite the apparent promise of e‐health, its instability is measured by its failure so far to systematically penetrate the organization of health care. Beyond the pragmatic negotiation of e‐health in the immediate context of clinical practice, there are wider issues about how the development/implementation of e‐health is funded, about its organization and management at the policy level; and about its potential medico‐legal risks.

It is hoped that the handful of ventures into cyber medicine appears to be coming from a few enterprising physicians who have set up medical practices on the Web.

The purpose of this paper is to examine whether Bahraini individuals accept e-health system and the prominent factors affecting e-health system adoption in Bahrain.

The authors adopted a quantitative and qualitative approach, i.e., a self-administered questionnaire, unstructured and a semi-structured interview, which were used to collect the data. A questionnaire was distributed to Bahraini residents selected randomly. The framework was based on the technology acceptance model (TAM) and theory of reasoned action (TRA). Important variables from both the TAM model and TRA theory were extracted and jointly used to build the research model.

The findings indicated that the most factors affecting e-health adoption are trust, health literacy and attitude. Additionally, people in the private and government sectors understand e-health benefits.

If healthcare professionals understand the factors affecting e-health system adoption from an individual and organisational perspective, then nurses, pharmacists and others will be more conscious about e-health and its adoption status.

E-health system adoption has become increasingly important to governments, individuals, and researchers in recent years. A novel research framework, based on TAM and TRA, was used to produce a new integrated model.

The increasing importance of electronic health (e-health) has raised the significance of exploring the factors influencing the users’ acceptance of e-health applications. There has been an extensive usage of the technology acceptance model (TAM) in e-health applications acceptance research. However, not all TAM relationships are borne out in all the studies. There is a variation in predicted effects in several studies with different user type and application type. The purpose of this paper is to bridge a research gap by providing a holistic view of the e-health applications acceptance research by integrating the findings of existing relevant literature.

A statistical meta-analysis of the effect size of causal relationships between common TAM constructs was conducted on 111 peer-reviewed academic studies published in various journals.

The results confirm the validity and robustness of the TAM in e-health applications acceptance research. Further, a moderator analysis based on user type and e-health application type demonstrated that the effect size of causal relationships between TAM constructs majorly depends on the user type, but not on e-health application type.

This research provides a ready reference of the existing studies on e-health applications acceptance to the researchers. Further, if researchers or practitioners want to learn more about the particular user or application type, they may find the results valuable.

This research suggests that the general public can be used as the surrogates for patients in e-health applications acceptance research. The implementation strategy found successful for medical staff may not work for general public and patients. This research also suggests ways to enhance acceptance of e-health applications among different user groups.

The research is original and is based on the existing literature and its interpretation.

The internet provides a wide range of technologies that enable health professionals to communicate with people. It ultimately may soon be the primary source for an individual searching for healthcare information, even for emerging economies such as Turkey. This study aims to examine how perceived benefits, perceived quality, and reliability of electronic health (e‐health) information affect intention to repeat e‐health information search behavior.

Through an announcement on one of the well‐known health web sites in Turkey, 376 out of 386 valid and complete responses were received via an online survey. The data were analyzed using exploratory factor analysis and multiple regressions analysis.

Results of the study indicate that the personal health issues component of perceived benefit has received the most consistent support as the factor that influences future health information search intention on the internet.

Research findings show that consumers use health web sites as a complementary tool rather than self‐diagnosing. Considering this, suggestions were made for web site designers to concentrate on information needs of consumers especially on personal health issues. Nevertheless, scope of data collection and focusing on intention rather than actual e‐health search behavior are the limitations of this study.

The internet was used by 45 percent of Turkish internet users for searching health‐related information approximately in 2009. So, how do these e‐health information seekers evaluate the benefits, quality, and reliability of e‐health information? Do benefits, quality, and reliability of e‐health information affect future e‐health information search intention? This study is unique in addressing all these questions for Turkish internet users.

This study aims to investigate how e-health system characteristics (information quality, system quality, perceived ease of use, perceived usefulness) contribute to the enhancement of medical staff performance, patient care, and doctor–patient relationships at UNRWA-Gaza healthcare centers. It aims at testing an integrative single model comprising Technology Acceptance Model (TAM), D&M model and e-health system utilization.

This study followed the quantitative methodology and the deductive research approach. Data were collected from 241 medical staff who use the system employed in 19 different healthcare centers across the Gaza Strip. Partial least square/structural equation modeling technique was used to analyze the collected data and to test study hypotheses.

Study concluded that information quality of the adopted Health Information System (HIS) has both direct and indirect positive impact on staff performance, only direct positive impact on patient care and only positive indirect impact on doctor–patient relationship. System quality, on the other hand, was found to have negative direct impact and positive indirect impact on staff performance and has both direct and indirect positive impact on both doctor-patient relationship and patient care.

Noteworthy that HIS has availability, speed and error detection and error prevention issues. It is recommended that these shortfalls be addressed together with improving user perception towards ease of use and usefulness of the system.

Management should also work to raise confidence in its medical staff to improve the effect of HIS on medical performance and patient care. It is also recommended that UNRWA should implement crowed management techniques such as queuing systems and on-phone booking to minimize patient waiting time.

The importance of the study stems from its context being conducted in a developing region (Gaza Strip-Palestine) which has a fragile economic, political and social environment with many other complexities. It is also conducted at United Nations Relief and Work Agency (UNRWA) healthcare centers, which provide medical services to Palestinian refugees. In addition, this study is among the few studies that address the impact of individual e-health success factors on both doctor-patient relationship and patient care constructs. Most previous studies concentrated on the impact of health system adoption as a whole on these two subject variables and one can hardly ever stop at studies that address effect of individual success factors on them. It also integrated both D&M system success model and TAM model with some additional amendments creating and tested a new model.

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.

This paper aims to provide clear domain knowledge and recent progresses on electronic healthcare (e-healthcare).

In this paper, the authors use citation analysis to describe the trends of study on e-health with the help of CiteSpace II, a software for visualizing citation-based analysis. By analyzing the 2,752 publications and their citation data in ISI database, the authors proposed renewable figures and tables on ranking critical people, institutes, keywords and journals. Through the most influential articles given by CiteSpace, the authors can grasp the main direction in e-health researches. Furthermore, the authors analyzed the literature at e-health literacy as a case, to better understand the development of research viewpoints.

Through the analysis, the authors found that e-health is a multi-disciplinary research field and the major research about it has changed. During the early stage, health information quality on the Internet dominates. Gradually, the role of information technology (IT) becomes more important. The authors also found that some researchers, recently, have proposed the effects of IT on e-health literacy which can then improve the ability to use health information on the Internet.

This paper has some research limitations, such as using an ISI database with most English publications. The future research may be conducted for collecting local publications data in China. It also has some implications. Based on the results, the authors claimed that IT may significantly improve people’s healthcare variance, e.g. e-health literacy. It is necessary to build new IT-based healthcare theories.

This paper also has some practical implications. Practitioners and institute may easily come to know which are the hot topics, top institutes and tendencies in the e-healthcare field.

This paper may help practitioners to find common interests with other institutions and societies.

This paper reported the status and trend of research in this field visually, and the result will help researchers to do more in-depth research in the future.

Economists have recognized knowledge management as a promising tool regarding all aspects of the economy, including health care. The volume of biomedical literature is currently growing at an exponential rate, and the vast number of studies makes it extremely difficult for researchers to keep up with new developments in their research areas. Therefore, the efficient management of huge amounts of data and the accuracy of the knowledge thus obtained are vital concerns. Electronic health (e-health) has emerged as a useful concept to provide data for solo self-care management. Although health care is a common topic on the internet, patients rarely share their health care-related knowledge on social media. This study aims to examine the impact of knowledge on e-health.

This paper complies with the methodological requirements of systematic literature reviews. The present paper has investigated the newest systems and studied their practical techniques in detail. The effects of knowledge on e-health have been categorized into major groups.

The outcomes indicate that the capabilities of information and communication technology certainly promote the exchange of knowledge within clinics. The results also show that institutional architectures have significant impacts on knowledge-sharing exercises, significantly improving patient safety.

These findings will be essential in the understanding of the interplay among various signals in theory and in the understanding of patients’ choice in the e-health community in practice. The results have implications for existing health management and e-health literature. The present paper will help policymakers, health-care executives and project managers to effectively set their operations and make them maintainable, prevent unpredicted obstacles and better allocate their resources. Overall, the results of this paper will guide researchers who are working in the field of e-health.

E-health attempts have mostly focused on answering questions using context-specific technical answers, regardless of the key role of knowledge resources. The present paper has provided an innovative viewpoint on how knowledge resources and knowledge-sharing initiatives may have a role in the innovative work behaviors shown by health-care employees. As noted before, there have been only a few studies regarding the effects of knowledge on health care, so the present paper contributes to the previous literature, particularly about e-health.

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 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.