Relevant bibliographies by topics / Ehealth

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ehealth'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Ehealth"

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Hyde, Lisa Lynne, Allison W. Boyes, Lisa J. Mackenzie, Lucy Leigh, Christopher Oldmeadow, Carlos Riveros, and Rob Sanson-Fisher. "Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis." Journal of Medical Internet Research 21, no. 8 (August 28, 2019): e13423. http://dx.doi.org/10.2196/13423.

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Background Variations in an individual’s electronic health (eHealth) literacy may influence the degree to which health consumers can benefit from eHealth. The eHealth Literacy Scale (eHEALS) is a common measure of eHealth literacy. However, the lack of guidelines for the standardized interpretation of eHEALS scores limits its research and clinical utility. Cut points are often arbitrarily applied at the eHEALS item or global level, which assumes a dichotomy of high and low eHealth literacy. This approach disregards scale constructs and results in inaccurate and inconsistent conclusions. Cluster analysis is an exploratory technique, which can be used to overcome these issues, by identifying classes of patients reporting similar eHealth literacy without imposing data cut points. Objective The aim of this cross-sectional study was to identify classes of patients reporting similar eHealth literacy and assess characteristics associated with class membership. Methods Medical imaging outpatients were recruited consecutively in the waiting room of one major public hospital in New South Wales, Australia. Participants completed a self-report questionnaire assessing their sociodemographic characteristics and eHealth literacy, using the eHEALS. Latent class analysis was used to explore eHealth literacy clusters identified by a distance-based cluster analysis, and to identify characteristics associated with class membership. Results Of the 268 eligible and consenting participants, 256 (95.5%) completed the eHEALS. Consistent with distance-based findings, 4 latent classes were identified, which were labeled as low (21.1%, 54/256), moderate (26.2%, 67/256), high (32.8%, 84/256), and very high (19.9%, 51/256) eHealth literacy. Compared with the low class, participants who preferred to receive a lot of health information reported significantly higher odds of moderate eHealth literacy (odds ratio 16.67, 95% CI 1.67-100.00; P=.02), and those who used the internet at least daily reported significantly higher odds of high eHealth literacy (odds ratio 4.76, 95% CI 1.59-14.29; P=.007). Conclusions The identification of multiple classes of eHealth literacy, using both distance-based and latent class analyses, highlights the limitations of using the eHEALS global score as a dichotomous measurement tool. The findings suggest that eHealth literacy support needs vary in this population. The identification of low and moderate eHealth literacy classes indicate that the design of eHealth resources should be tailored to patients’ varying levels of eHealth literacy. eHealth literacy improvement interventions are needed, and these should be targeted based on individuals’ internet use frequency and health information amount preferences.
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Tsukahara, Saki, Satoshi Yamaguchi, Futaba Igarashi, Reiko Uruma, Naomi Ikuina, Kaori Iwakura, Keisuke Koizumi, and Yasunori Sato. "Association of eHealth Literacy With Lifestyle Behaviors in University Students: Questionnaire-Based Cross-Sectional Study." Journal of Medical Internet Research 22, no. 6 (June 24, 2020): e18155. http://dx.doi.org/10.2196/18155.

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Background Maintenance of good health and a healthy lifestyle have significant impacts on the lives of university students. However, university students are prone to engage in risky health behaviors, resulting in impaired health status. Electronic health (eHealth) literacy is an important factor in maintaining a healthy lifestyle. However, no studies have assessed the eHealth literacy levels and the associated lifestyle behaviors among university students in Japan. Objective The purposes of this study were to clarify the eHealth literacy level, the participant characteristics associated with eHealth literacy, and the association of eHealth literacy with lifestyle behaviors of students in a Japanese university. Methods A questionnaire-based cross-sectional study of 3183 students at a national university in Japan was conducted. eHealth literacy was quantified using the Japanese version of the eHealth Literacy Scale (eHEALS). The association between participant characteristics (gender, school year, department of study, and living status) and eHEALS score was assessed using t tests. Additionally, the associations of eHealth literacy with lifestyle behaviors (exercise, smoking, alcohol consumption, etc.) were evaluated using logistic regression analyses. Results The mean eHEALS score was 23.6/40 points. The mean eHEALS score for students in medical departments was 27.0/40 points, which was 2.9 points higher than that of nonmedical students (P<.001). Similarly, the graduate school participants had higher scores than the undergraduate students. The proportion of participants who exercised regularly was higher in the high eHEALS score group than in the low score group, with an adjusted odds ratio of 1.39 (P<.001). Conclusions The eHealth literacy level of university students in Japan was comparable to that of the general Japanese population. Graduate students, as well as those in medical departments, had higher eHealth literacy. Furthermore, students with higher eHealth literacy had better exercise routines.
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Eto, Mamiko, and Koji Yamatsu. "Associations of eHealth Literacy with Social Activity among Community-Dwelling Older Adults: A Cross-Sectional Study." European Journal of Investigation in Health, Psychology and Education 14, no. 5 (May 6, 2024): 1279–94. http://dx.doi.org/10.3390/ejihpe14050084.

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Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and sports activities) and to investigate the factors associated with eHEALS scores among community-dwelling older adults. The mean eHEALS score was 12.4 points (SD 8.2), with the majority (73.3%) having the lowest score (the lowest score is 8 points). Males (17.6, SD 10.5) scored significantly higher than females (11.8, SD 7.7). The eHEALS score had a significant relationship with both cultural and community activity. Five factors significantly associated with having the lowest eHEALS score were cultural activity at least once a week, no cultural activity, no community activity, total IADL score, and intellectual activity. These results suggest that eHealth literacy is associated with community activity and cultural activity among older adults.
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An, Lawrence, Elizabeth Bacon, Sarah Hawley, Penny Yang, Daniel Russell, Scott Huffman, and Ken Resnicow. "Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study." Journal of Medical Internet Research 23, no. 3 (March 29, 2021): e25042. http://dx.doi.org/10.2196/25042.

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Background During a global pandemic, it is critical that the public is able to rapidly acquire new and accurate health information. The internet is a major source of health information. eHealth literacy is the ability of individuals to find, assess, and use health information available on the internet. Objective The goals of this study were to assess coronavirus-related eHealth literacy and examine the relationship between eHealth literacy and COVID-19−related knowledge, attitudes, and practices (KAPs). Methods We conducted a web-based survey of a representative sample of 1074 US adults. We adapted the 8-item eHealth Literacy Scale to develop the Coronavirus-Related eHealth Literacy Scale (CoV-eHEALS) to measure COVID-19−related knowledge, conspiracy beliefs, and adherence to protective behaviors (eg, wearing facial masks and social distancing). Our analyses identified sociodemographic associations with the participants’ CoV-eHEALS scores and an association between the CoV-eHEALS measure and COVID-19 KAPs. Results The internal consistency of the adapted CoV-eHEALS measure was high (Cronbach α=.92). The mean score for the CoV-eHEALS was 29.0 (SD 6.1). A total of 29% (306/1074) of the survey participants were classified as having low coronavirus-related eHealth literacy (CoV-eHEALS score <26). Independent associations were found between CoV-eHEALS scores and ethnicity (standardized β=–.083, P=.016 for Black participants) and education level (standardized β=–.151, P=.001 for participants with high-school education or lower). Controlling for demographic characteristics, CoV-eHEALS scores demonstrated positive independent associations with knowledge (standardized β=.168, P<.001) and adherence to protective behaviors (standardized β=.241, P<.001) and a negative association with conspiracy beliefs (standardized β=–.082, P=.009). Conclusions This study provides an estimate of coronavirus-related eHealth literacy among US adults. Our findings suggest that a substantial proportion of US adults have low coronavirus-related eHealth literacy and are thus at a greater risk of lower and less-protective COVID-19 KAPs. These findings highlight the need to assess and address eHealth literacy as part of COVID-19 control efforts. Potential strategies include improving the quality of health information about COVID-19 available on the internet, assisting or simplifying web-based search for information about COVID-19, and training to improve general or coronavirus-specific search skills.
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Makowsky, Mark J., Shahnaz Davachi, and Charlotte A. Jones. "eHealth Literacy in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Subanalysis of a 2014 Community-Based Survey." JMIR Formative Research 6, no. 3 (March 30, 2022): e29955. http://dx.doi.org/10.2196/29955.

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Background Digital health interventions are efficient and flexible methods for enhancing the prevention and management of cardiovascular disease and type 2 diabetes. However, little is known about the characteristics associated with eHealth literacy in the Canadian South Asian population. Objective The aim of this study is to describe perceived eHealth literacy and explore the extent to which it is associated with sociodemographic, health status, and technology use variables in a subset of South Asian Canadians. Methods We analyzed data from the e-Patient Project survey, a mixed-mode cross-sectional survey that occurred in 2014. The eHealth Literacy Scale (eHEALS) was used to measure eHealth literacy in a convenience sample of 511 English- or Punjabi-speaking South Asian adults recruited from a community pharmacy, a family physician office, and community events in Edmonton, Alberta. Multivariable quantile regression was used to explore variables associated with eHealth literacy. Results The analysis was restricted to 301 internet users (mean age 39.9, SD 14.8 years; 166/301, 55.1% female) who provided responses to all 8 eHEALS questions and complete demographic information. The mean overall eHEALS score was 29.3 (SD 6.8) out of 40, and 71.4% (215/301) agreed to at least 5 out of the 8 eHEALS items. The eHEALS item with the lowest level of agreement was “I can tell high-quality health resources from low-quality health resources on the internet” (182/301, 60.5%). Although there were statistically significant differences in eHEALS scores according to age, educational achievement, language preference, and the presence of chronic medical conditions, multivariable regression analysis indicated that language preference was the only variable independently associated with eHealth literacy (coefficient –6.0, 95% CI –9.61 to –2.39). Conclusions In our sample of South Asian Canadian internet users, preference for written health information in languages other than English was associated with lower eHealth literacy. Opportunities exist to improve eHealth literacy using culturally and linguistically tailored interventions.
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Gazibara, Tatjana, Jelena Cakić, Milica Cakić, Redžeb Zejnelagić, Aleksandra Popović, and Anita Grgurević. "Exploring e-health literacy among students of sports vs. medical students." Medicinska istrazivanja 55, no. 3 (2022): 21–28. http://dx.doi.org/10.5937/medi55-39595.

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Introduction/Aim: Data about electronic health (eHealth) literacy and potential differences in eHealth literacy between university students are lacking. The aim of this study was to evaluate eHealth literacy in students of sports and medicine and to assess the factors associated with better eHealth literacy. Material and Methods: This cross-sectional study was carried out from April to October 2017 among final year students of the Faculty of Sports and Physical Education and the Faculty of Medicine, University of Belgrade, Serbia. A total of 89 sports students and 301 medical students were included. The eHealth Literacy Scale (eHEALS) was used to evaluate eHealth literacy. Results: Compared with sports students, medical students had higher median eHEALS score (27 vs. 30, respectively, p=0.008). Medical students were twice as confident as sports students in their efforts to locate helpful online health resources and use online health information. A significant hierarchical linear regression model was not obtained in the sample of sports students regarding predictors of better eHealth literacy. In the sample of medical students, the following was associated with better self-perceived eHealth literacy: being female, residing outside of the capital before becoming a student, younger age at the time of the first Internet use, the use of health-related websites and smartphone apps as well as lower influence of online health-related information on decision making regarding health. Conclusion: Medical students were more confident in perceiving their eHealth literacy skills compared to sports students. The factors associated with better eHealth literacy may depend on the fields of study.
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Bardus, Marco, Arda Keriabian, Martine Elbejjani, and Samar Al-Hajj. "Assessing eHealth literacy among internet users in Lebanon: A cross-sectional study." DIGITAL HEALTH 8 (January 2022): 205520762211193. http://dx.doi.org/10.1177/20552076221119336.

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Objective Assessing the level of eHealth literacy in a population is essential to designing appropriate public health interventions. This study aimed to assess eHealth literacy among adult internet users in Lebanon, recruited through social media and printed materials. The study examined the relationship between internet use, perceived eHealth literacy, and sociodemographic characteristics. Methods A cross-sectional study based on a web-based questionnaire was conducted between January and May 2020. The survey assessed internet use and eHealth literacy using the homonymous scale (eHEALS) in English and Arabic. Cronbach's alpha and factor analyses were used to evaluate eHEALS’ psychometric properties. A generalized linear model was used to identify factors predicting the eHEALS. Results A total of 2715 respondents were recruited mostly through Facebook (78%) and printed materials (17%). Most respondents completed the survey in English (82%), were aged 30 ± 11 years, female (60%), Lebanese (84%), unmarried (62%), employed (54%), and with a graduate-level education (53%). Those who completed the eHEALS questionnaire ( n = 2336) had a moderate eHealth literacy ( M = 28.7, SD = 5.5). eHEALS was significantly higher among older females with a high education level, recruited from Facebook, Instagram, or ResearchGate, and perceived the Internet as a useful and important source of information. Conclusions Future internet-delivered public health campaigns in Lebanon should account for moderate-to-low levels of eHealth literacy and find ways to engage older males with low education levels representing neglected segments (e.g. Syrians). To be more inclusive, campaigns should reach neglected population segments through non-digital, community-based outreach activities.
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Wong, Swee Shiuan, Hooi Min Lim, Adrian Jian Zhi Chin, Felicia Wen Si Chang, Kah Chun Yip, Chin Hai Teo, Adina Abdullah, and Chirk Jenn Ng. "eHealth literacy of patients attending a primary care clinic in Malaysia and its associated factors: A cross-sectional study." DIGITAL HEALTH 8 (January 2022): 205520762211353. http://dx.doi.org/10.1177/20552076221135392.

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Background People are overloaded with online health information (OHI) of variable quality. eHealth literacy is important for people to acquire and appraise reliable information to make health-related decisions. While eHealth literacy is widely studied in developed countries, few studies have been conducted among patients in low- and middle-income countries (LMICs). Objective We aimed to determine the level of eHealth literacy in patients attending a primary care clinic in Malaysia and its associated factors. Methods A cross-sectional study using a self-administered questionnaire was conducted in an urban primary care clinic. We used a systematic random sampling method to select patients aged 18 years and above who attended the clinic. The eHealth literacy scale (eHEALS) was used to measure eHealth literacy. Results A total of 381 participants were included. The mean eHEALS was 24.4 ± 7.6. The eHEALS statements related to skills in appraising OHI were scored lower than statements related to looking for online resources. Higher education level of attending upper secondary school (AOR 2.53, 95% CI 1.05–6.11), tertiary education (AOR 4.05, 95% CI 1.60–10.25), higher monthly household income of >US$470 (AOR 1.95, 95% CI 1.07–3.56), and those who had sought OHI in the past month (AOR 1.95, 95% CI 1.13–3.36) were associated with a higher eHealth literacy level. Conclusions This study found a low eHealth literacy level among primary care patients in Malaysia. While the patients were confident in searching for OHI, they lacked skills in appraising them. Our findings inform the interventions for improving eHealth literacy in LMICs, especially educating the public about OHI appraisal.
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Berkowsky, Ronald W. "Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey." Gerontology and Geriatric Medicine 7 (January 2021): 233372142110642. http://dx.doi.org/10.1177/23337214211064227.

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With the Internet continuously being used as a means of providing health education and promotion to the public, consumers are increasingly going online to gather pertinent health information. However, disparities exist with regards to consumers’ ability in finding, evaluating, and applying online health information (collectively referred to as eHealth literacy). Identifying these disparities may elucidate which segments of the population would benefit from targeted eHealth literacy interventions and ways to adapt online health promotion materials. This study uses data from the 2020 CALSPEAKS survey to identify disparities in eHealth literacy among older adults aged 65+ residing in California, USA ( N = 237). eHealth literacy is self-assessed using the previously validated 8-item eHEALS questionnaire. Ordinary least squares regression analyses are performed on individual eHEALS items and on a summed eHealth literacy score, with demographic and technology use-related characteristics as predictors. Results show that the strongest and most consistent predictors of eHealth literacy include education, frequency of Internet use, and breadth of Internet activities regularly performed. Findings suggest that those seeking to increase eHealth literacy specifically among older Californians may benefit from tailoring their interventions and online health promotion materials towards those with less education and those with less Internet experience.
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Norman, Cameron D., and Harvey A. Skinner. "eHEALS: The eHealth Literacy Scale." Journal of Medical Internet Research 8, no. 4 (November 14, 2006): e27. http://dx.doi.org/10.2196/jmir.8.4.e27.

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Dissertations / Theses on the topic "Ehealth"

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Black, Alofi S. "eHealth-as-a-Service: A service based design approach for large scale eHealth architecture." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/119154/1/Alofi_Black_Thesis.pdf.

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This thesis is an in-depth exploration of a multi-methodological design science approach to develop a purposeful eHealth-as-a-Service (eHaaS) design artifact, with potential to improve information quality in primary care settings. This was achieved by first, deriving abstract meta-requirements from an ethnographic examination of care pathways to establish the technical goals of the solution. Then, defining the functions, organization, and structure of an eHaaS conceptual model as an example of how service-based architectures might deliver high quality information services. Finally, establishing the validity of the conceptual model with the development of a novel evaluation strategy to explain the predicted change produced by eHaaS architecture. Given that, eHaas provides the foundation for developing a link between the patient and their information that is available to multiple healthcare professionals when needed.
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Azam, Muhammad, and Izhar Hussain. "The Role of Interoperability in eHealth." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5137.

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In the light of challenges the lack of interoperability in systems and services has long been recognized as one of the major challenge to the wider implementation of the eHealth applications. The opportunities and positive benefits of achieving interoperability are eventually considerable, whereas various barriers and challenges act as impediments. The purpose of this study was to investigate the interoperability among different health care organizations. The knowledge of this study would be supportive to health care organizations to understand the interoperability problems in health care organizations. In the first phase of literature review interoperability challenges in Sweden and other EU countries were identified. On the basis of findings interviews were conducted to know the strategies and planning about interoperability in health care organizations. After analysis of interviews, questionnaires were conducted to know the opinions of different medical IT administrator and health professionals. The authors find after the analysis of interviews and questionnaire that adopting eHealth standard, same system, insuring the security of patient’s health record information and same medical language could be implemented in Sweden and other EU countries health organizations.
Muhammad Azam-0046 760806528,Izhar Hussain-0046 700183425
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Nováková, Veronika. "eHealth -- Elektronické zdravotnictví v rámci EU." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75866.

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This thesis deals with the problems of e-Health in the Czech Republic within the European Union. The thesis is divided into five main parts. The first of them describes the definition and concept of e Health together with other selected topics. It also describes the reasons why e-health needs support. The second part is focused on the computerization of health care and describes the recommendations of the EU standards and documents for support of e-health. The third part describes the state of e-health in selected EU Member States. The fourth part is focuses on e-health in the Czech Republic. The final part suggests possible ways how to solve problems of IZIP project in the Czech Republic to be more useful. The first goal is to analyze the e-Health environment and current trends in this area in the Czech Republic. The goal is to analyze the EU initiative on data interoperability and support from European Union to member states. The third goal is to analyze the situation of e-health in at least three other EU countries (excluding the CR). All the objectives will be achieved by studying available electronic materials issued by the EU, national government agencies, private experience and consultations with professional public. The benefit of this work is the current view of the state of e-Health in the Republic and in selected EU countries, according to available resources. Another benefit is the proposal addressing some of weaknesses IZIP project in the CR, which I chose as the most important representative e-health solution in the country.
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Němcová, Michaela. "Využití expertních systémů v oblasti eHealth." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242028.

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This work focuses on the use of expert systems in engineering and medicine with the use of eHealth. The aim is the creation of an expert system that utilizes available systems for measuring physiological parameters of a patient, and helps him with the primary examination before visiting the doctor. Part of this work is a description of the problems of expert systems, descriptions of the eHealth and system testing in a doctor’s office. Work created in collaboration with Honeywell.
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Vilaplana, Mayoral Jordi. "Management of Cloud systems applied to eHealth." Doctoral thesis, Universitat de Lleida, 2015. http://hdl.handle.net/10803/311417.

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This thesis explores techniques, models and algorithms for an efficient management of Cloud systems and how to apply them to the healthcare sector in order to improve current treatments. It presents two Cloud-based eHealth applications to telemonitor and control smoke-quitting and hypertensive patients. Different Cloud-based models were obtained and used to develop a Cloudbased infrastructure where these applications are deployed. The results show that these applications improve current treatments and that can be scaled as computing requirements grow. Multiple Cloud architectures and models were analyzed and then implemented using different techniques and scenarios. The Smoking Patient Control (S-PC) tool was deployed and tested in a real environment, showing a 28.4% increase in long-term abstinence. The Hypertension Patient Control (H-PC) tool, was successfully designed and implemented, and the computing boundaries were measured
Aquesta tesi explora tèniques, models i algorismes per una gestió eficient en sistemes al Núvol i com aplicar-ho en el sector de la salut per tal de millorar els tractaments actuals. Presenta dues aplicacions de salut electrònica basades en el Núvol per telemonitoritzar i controlar pacients fumadors i hipertensos. S'ha obtingut diferents models basats en el Núvol i s'han utilitzat per a desenvolupar una infraestructura on desplegar aquestes aplicacions. Els resultats mostren que aquestes aplicacions milloren els tractaments actuals així com escalen a mesura que els requeriments computacionals augmenten. Múltiples arquitectures i models han estat analitzats i implementats utilitzant diferents tècniques i escenaris. L'aplicació Smoking Patient Control (S-PC) ha estat desplegada i provada en un entorn real, aconseguint un augment del 28,4% en l'absistinència a llarg termini de pacients fumadors. L'aplicació Hypertension Patient Control (H-PC) ha estat dissenyada i implementada amb èxit, i els seus límits computacionals han estat mesurats.
Esta tesis explora ténicas, modelos y algoritmos para una gestión eficiente de sistemas en la Nube y como aplicarlo en el sector de la salud con el fin de mejorar los tratamientos actuales. Presenta dos aplicaciones de salud electrónica basadas en la Nube para telemonitorizar y controlar pacientes fumadores e hipertensos. Se han obtenido diferentes modelos basados en la Nube y se han utilizado para desarrollar una infraestructura donde desplegar estas aplicaciones. Los resultados muestran que estas aplicaciones mejoran los tratamientos actuales así como escalan a medida que los requerimientos computacionales aumentan. Múltiples arquitecturas y modelos han sido analizados e implementados utilizando diferentes técnicas y escenarios. La aplicación Smoking Patient Control (S-PC) se ha desplegado y provado en un entorno real, consiguiendo un aumento del 28,4% en la abstinencia a largo plazo de pacientes fumadores. La aplicación Hypertension Patient Control (H-PC) ha sido diseñada e implementada con éxito, y sus límites computacionales han sido medidos.
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Alpay, Erdem. "Patient Privacy And Consent Management In Ehealth." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614525/index.pdf.

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Health information of patients are preserved either in Electronic Health Records (EHR) repositories which are generally managed in national level or in local hospital systems. However, the real owners of the data are always the patients themselves, without depending where or by whom the data is preserved. Patients should have the rights to permit or deny the access of modification of their information to whoever they want. Here comes the concept of Consent. Consent means provision of approval or agreement, after thoughtful consideration. Decisions of patients about sharing their information are collected and preserved in consent documents. These consent documents can be stored in different formats. The eXtensible Access Control Markup Language (XACML) defines the policy language for this purpose. Also there is another language defined by XACML called Request/Response Language for creating request to access information and response to reply requests. Even though XACML is the most appropriate standard for conserving consent documents, it has some weak points when used in practical systems. In the first part of this study, a new model based on XACML is designed. This model is easily convertable to XACML and vice versa. Then a Consent Management tool is designed using the new model. This tool has two parts, Basic Consent Editor and Consent Manager. Basic Consent Editor is aiming to provide a practical user interface for creating and managing consent documents. Consent Manager on the other hand plays a decision mechanism role which handle requests and create decision responses according to already created consent documents. In this study, three different tools are implemented based on the Consent Management tool, each for different purposes on different projects. Throughout these implementations, usability and possible extensibility of Consent Management tool is analysed.
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Barhamgi, Mahmoud. "Composing DaaS web services : application to eHealth." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10164.

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Dans cette thèse, nous intéressons à l'automatisation de la composition de service Web d'accès aux données (i.e. DaaS Data-gs-g-S..ervice Web services) pour les besoins de partage de données dans les environnements distribués. La composition de service Web permet de répondre aux besoins d'un utilisateur ne pouvant être satisfaits par un seul Web service, alors qu'une intégration de plusieurs le permettrait. La motivation principale de notre travail est que les méthodes de composition, telles qu'elles sont appliquées aux services Web traditionnels (i.e. AaaS Application-as-a-Service Web services), ne permettent pas de prendre en compte la relation sémantique entre les entrées/sorties d'un service Web d'accès aux données, et en conséquence, elles ne sont pas adaptées pour composer les services Web d'accès aux données. Dans ce travail de thèse, nous proposons d'exploiter les principes de base des systèmes d'intégration des données pour composer les services Web d'accès aux données. Plus précisément, nous modélisons les services Web d'accès aux données comme des vues sur des ontologies de domaine. Cela permet de représenter la sémantique d'un service d'une manière déclarative en se basant sur des concepts et des relations dont les sémantiques sont formellement définies dans l'ontologie de domaine. Ensuite, nous utilisons les techniques de réécriture des requêtes pour sélectionner et composer automatiquement les services pour répondre aux requêtes des utilisateurs. Comme les services Web d'accès aux données peuvent être utilisés pour accéder à des données sensibles et privées, nous proposons également un mécanisme basé sur la modification des requêtes pour préserver la confidentialité des données. Ce mécanisme modifie les requêtes en se basant sur des politiques de confidentialité avant leur résolution par 1' algorithme de composition, et il prend en considération les préférences des utilisateurs quant à la divulgation de leurs données privées. Le principal domaine d'application de notre approche est le domaine d'e-santé, où les services Web d'accès aux données sont utilisés pour partager les dossiers médicaux des patients
In this dissertation, we propose a novel approach for the automatic composition of DaaS Web services (DaaS Data-gs-g-S.ervice Web services). Automatic DaaS Web service composition requires dealing with three major research thrusts: (i) describing the semantics of DaaS Web services, (ii) selecting and combining relevant DaaS Web services, and (iii) generating composite service descriptions (i.e. the compositions' plans). We first propose to model DaaS Web services as RDF views over domain ontologies. An RDF view allows capturing the semantics of the associated DaaS Web service in a "declarative" way based on concepts and relationships whose semantics are formally defined in domain ontologies. The service description files (i.e. WSDL files) are annotated with the defined RDF views using the extensibility feature of the WSDL standard. We then propose to use query rewriting techniques for selecting and composing DaaS Web services. Specifically, we devised an efficient RDF-oriented query rewriting algorithm that selects relevant services based ontheir defined RDF views and combines them to ans~wer a posed query. It also generates an execution plan for the obtained composition/s. Our algorithm takes into account the RDFS semantic constraints (i.e. "subClassOf", "subPropertyOf", "Domain" and "Range") and is able to address both specifie and parameterized queries. Since DaaS Web services may be used to access sensitive and private data; we also extended our DaaS service composition approach to handle data privacy concems. Posed queries are modified to accommodate pertaining privacy conditions from data privacy policies before their resolution by the core composition algorithm. Our proposed privacy preservation model takes user' s privacy preferences into account
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Mekawie, Nermeen Magdi. "Factors affecting adoption of eHealth in Egypt." Thesis, Middlesex University, 2013. http://eprints.mdx.ac.uk/12334/.

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This research investigates the factors that affect technology acceptance in the eHealth domain with regard to Egypt. It also focuses on the impact of the perceptions and attitudes of online privacy, due to the sensitivity of healthcare information, and trust, in addition to the other technology acceptance factors affecting acceptance of eHealth in Egypt. The aims of the research were to (i) understand the impact of general attitudes to online privacy and associated concerns on the acceptance and uptake of eHealth services, and (ii) to develop an enhanced technology acceptance model that takes into consideration factors pertaining to technology acceptance adopted from the UTAUT Model as well as online privacy, online trust and Internet experience factors. Results from a questionnaire survey of a randomly selected sample of computer literate members of the general public revealed interesting correlations between users’ acceptance of eHealth services and attitudes to online privacy, indicating that users’ general attitudes to online privacy negatively affect eHealth acceptance. Factors pertaining to the UTAUT model such (performance expectancy, effort expectancy, and facilitating conditions) have a positive impact on potential acceptance. Furthermore, factors of online trust and Internet experience and exposure also show a positive impact on eHealth technology acceptance. Questions used to measure eHealth technology acceptance were adapted to the eHealth domain as well as to the Egyptian culture in order to reflect potential users’ understanding of eHealth concepts. The Unified Theory of Acceptance and Use of Technology (UTAUT) model (Venkatesh et al., 2003) was used as a foundation for testing factors of technology acceptance. Linked issues such as e-privacy threats such unauthorized use of personal information, privacy policies and regulations, and possible links with existing technology acceptance models in the eHealth context were also investigated. The research concluded that these additional factors of privacy and trust are relevant to technology acceptance in the eHealth context, and should be included in technology acceptance models. The results of this research, in terms of recommendations made for eHealth, will directly benefit the Egyptian government; commercial services and eHealth researchers among others.
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Cox, Anna Clare. "eHealth and the burden of cancer survivorship." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/812706/.

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Cancer survivorship is increasing year on year due to an aging population and improvements in cancer screening and treatments. The experience of survivorship can be challenging; individuals living with and beyond cancer can face a burden of survivorship. Cancer survivors not only experience symptom burden (the severity and impact of biopsychosocial consequences of disease and its treatment), there is also evidence that individuals living with chronic conditions experience treatment burden (the ‘work’ required of them in managing their condition and its symptoms). Traditional clinic-based approaches to relieving the burden of cancer survivors may not be sustainable or the most beneficial. eHealth interventions are developing exponentially and there is an expectation that they can improve the experience of cancer survivorship. This thesis considers the impact of eHealth supportive care interventions on the burden of those living with and beyond cancer, reporting the experience of adult cancer survivors and the perceptions of health care professionals (HCPs). Five publications form the body of this thesis. The first publication indicates that while most cancer survivors want to be fully informed many do not receive sufficient information in all areas (e.g. psychosocial issues), thus supporting the consideration of alternative approaches to providing cancer survivors with supportive care. Two publications report positive impact of a telephone follow-up intervention on the burden of survivorship. Two publications consider HCP perceptions of remote symptom monitoring and internet care plans. These papers report that HCPs perceive eHealth interventions to increase burden for specific groups of cancer survivors depending on individual patient factors, the context of their care, and the content of the intervention. This body of work supports the potential of eHealth to alleviate the burden of cancer survivors but acknowledges that the complexity of for whom and how these benefits occur warrants exploration through further research. Involving cancer survivors and HCPs in the development of eHealth supportive care interventions is key to creating and implementing sustainable effective solutions to relieving the burden of future cancer survivors.
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Fernandes, João Paulo Pina. "Vocabulary services for eHealth applications in Portugal." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/10934.

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Mestrado em Engenharia Electrónica e Telecomunicações
O uso seguro de eSa ude requer que as ferramentas de informa c~ao partilhem a mesma interpreta c~ao de dados mas, no actual estado das implanta c~oes, os sistemas s~ao normalmente heterog eneos e adoptam modelos de informa c~ao locais. A falta de solu c~oes para a comunica c~ao entre diferentes sistemas a n vel t ecnico e especialmente a n vel sem^antico di culta a capacidade de usar a informa c~ao relativa ao mesmo utente de forma continuada entre m ultiplos sistemas. Uma contribui c~ao parcial para facilitar a integra c~ao de fontes de informa c~ao diferentes e o uso de terminologias m edicas, que clari cam o uso pretendido de certos campos da informa c~ao e os respectivos valores. Neste trabalho e proposto o uso de um servidor de vocabul ario como um componente central do sistema com o objectivo de satisfazer dois casos de uso mais pertinentes: (1) criar um servi co de refer^encia para a realidade portuguesa e (2) permitir a transforma c~ao de estruturas de informa c~ao para outros modelos cl nicos (para cen arios de interoperabilidade). A ferramenta proposta, al em de funcionar como um servidor de terminologias relevantes para o sistema de sa ude portugu^es, e tamb em capaz de modelar associa c~oes sem^anticas entre terminologias diferentes, permitindo assim a tradu c~ao e transcodi ca c~ao de conceitos. As especi cidades da rede de interoperabilidade do epSOS foram tomadas em considera c~ao para o desenvolvimento das especi ca c~oes. O sistema possui a capacidade de mapear terminologias carregadas, oferece uma representa c~ao dessa informa c~ao (e.g. vista de um grafo de conceitos relacionada com uma doen ca espec ca) e permite importar essa mesma informa c~ao nos formatos RDF e JSON. Uma interface de programa c~ao de aplica c~oes (API) foi desenvolvida para permitir a um utilizador fazer interroga c~oes sem^anticas de alto n vel, como por exemplo, o mapeamento entre terminologias usadas no sistema de sa ude portugu^es. Os resultados deste trabalho podem facilitar o desenvolvimento de solu c~oes em eSa ude atrav es da disponibiliza c~ao de servi cos b asicos relacionados com terminologias, melhorando assim a interoperabilidade das aplica c~oes.
The safe use of eHealth requires that information tools share the same interpretation of the data but, in the current state of the implementations, systems are often heterogeneous and adopt local information models. The lack of interfacing solutions between di erent systems at the technical and, specially, semantic level, hinders the ability to use seamlessly information for the same patient, available at multiple sources. A partial contribution to facilitate the integration of di erent information sources is the use of medical terminologies, which clarify the intended use of certain data elds and the possible value sets. In this work, we propose the use of a vocabulary server as a central component to enable two motivating use cases: (1) enable a reference semantic service for the Portuguese reality and (2) enable the transformation of clinical data structures into other clinical models (for interoperability scenarios). The proposed tool, besides serving terminologies relevant to the Portuguese health system, is also capable of modelling semantic associations between di erent terminology systems to enable translation and transcoding. The speci c requirements of the epSOS interoperability network were used to drive the speci cation. The system is able to link terminologies, o er a visual representation of that information (e.g. the viewing of a graph of concepts related to a speci c disease) and allows that information extraction in RDF and JSON formats. An application programming interface was developed to enable developer to issue high-level semantic interrogations like, for example, mapping between terminology systems used in the Portuguese health system. The results of this work can facilitate eHealth solutions developers on getting basic terminology services to extend their applications towards enhanced interoperability.
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Books on the topic "Ehealth"

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Andelfinger, Volker P., and Till Hänisch, eds. eHealth. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3.

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Rosenmöller, Magdalene, Diane Whitehouse, and Petra Wilson, eds. Managing eHealth. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137379443.

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Wouters, Eveline, Teatske van der Zijpp, and Marianne Nieboer. (B)eHealth. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1073-9.

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Giokas, Kostas, Laszlo Bokor, and Frank Hopfgartner, eds. eHealth 360°. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49655-9.

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Improving ehealth. The Hague: Eleven International Publishing, 2013.

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Hyppönen, Hannele, Sabine Koch, Arild Faxvaag, Heidi Gilstad, Christian Nohr, Gudrun Audur Hardardottir, Hege Andreassen, et al. Nordic eHealth benchmarking. Copenhagen: Nordic Council of Ministers, 2017. http://dx.doi.org/10.6027/tn2017-528.

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Fischer, Florian, and Alexander Krämer, eds. eHealth in Deutschland. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49504-9.

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Timmer, Saskia. eHealth in de praktijk. Houten: Bohn Stafleu van Loghum, 2011. http://dx.doi.org/10.1007/978-90-313-9127-1.

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Sinabell, Irina. Agile eHealth Usability Evaluation. Wiesbaden: Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44434-1.

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Gibbons, Michael Christopher, ed. eHealth Solutions for Healthcare Disparities. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-72815-5.

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Book chapters on the topic "Ehealth"

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Engemann, Christoph. "eHealth." In Handbuch Virtualität, 361–72. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-16342-6_18.

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Engemann, Christoph. "eHealth." In Handbuch Virtualität, 1–13. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-16358-7_18-1.

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Bain, Heather. "eHealth." In A Textbook of Community Nursing, 342–60. 2. | Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.1201/9781315157207-17.

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Andelfinger, Volker P., and Till Hänisch. "Einleitung." In eHealth, 1–4. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_1.

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Elmer, Arno. "Elektronische Gesundheitskarte und Telematikinfrastruktur – Plattform für ein sicher vernetztes Gesundheitswesen." In eHealth, 97–103. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_10.

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Andelfinger, Volker P. "Gesundheitsportale und Private Krankenversicherung – was in anderen Ländern passt, das passt auch in Deutschland – oder?" In eHealth, 105–7. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_11.

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Andelfinger, Volker P., and Hänisch Til. "Integrationsseminar 2015 an der Dualen Hochschule Baden-Württemberg in Heidenheim, Fachrichtung Wirtschaftsinformatik." In eHealth, 109–215. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_12.

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Andelfinger, Volker P. "Geschäftsmodelle – das magische Dreieck aus Machbarkeit, Erwünschtheit und wirtschaftlicher Tragfähigkeit und die Schieflage in aktuellen eHealth- und AAL-Projekten." In eHealth, 217–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_13.

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Richter, Julia. "Mehr Kundenorientierung durch Design." In eHealth, 221–29. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_14.

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Wyrwa, Irene. "Customer Experience Management für mehr Kundenzufriedenheit und Loyalität." In eHealth, 231–37. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12239-3_15.

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Conference papers on the topic "Ehealth"

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Reis, Arsénio, Dennis Paulino, Paulo Martins, Hugo Paredes, and João Barroso. "eHealth Context Inference." In International Workshop on Artificial Intelligence for Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006752707070714.

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schraefel, mc, Lena Mamykina, Gary Marsden, Ben Shneiderman, Peter Szolovits, Daniel Weitzner, Paul André, et al. "Interacting with eHealth." In the 27th international conference extended abstracts. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1520340.1520476.

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Meyma, Mint Mohamed, Naziha Laaz, and Samir Mbarki. "Upgrading eHealth 2.0 Applications to eHealth 3.0 Based on QVTo Mapping." In 2023 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA). IEEE, 2023. http://dx.doi.org/10.1109/icdata58816.2023.00015.

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Dogdu, Erdogan. "Semantic web in eHealth." In the 47th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1566445.1566542.

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Kushch, Sergii, Silvio Ranise, and Giada Sciarretta. "Blockchain Tree for eHealth." In 2019 IEEE Global Conference on Internet of Things (GCIoT). IEEE, 2019. http://dx.doi.org/10.1109/gciot47977.2019.9058412.

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Burke, Wendy, Taiwo Oseni, Alireza Jolfaei, and Iqbal Gondal. "Cybersecurity Indexes for eHealth." In ACSW 2019: Australasian Computer Science Week 2019. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290688.3290721.

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Slamanig, Daniel, and Christian Stingl. "Privacy Aspects of eHealth." In 2008 Third International Conference on Availability, Reliability and Security. IEEE, 2008. http://dx.doi.org/10.1109/ares.2008.115.

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Grunwell, Daniel, Randike Gajanayake, and Tony Sahama. "Demonstrating Accountable-eHealth systems." In ICC 2014 - 2014 IEEE International Conference on Communications. IEEE, 2014. http://dx.doi.org/10.1109/icc.2014.6883989.

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Subramanian, Nandhini, Omar Elharrouss, and Somaya Al-Maadeed. "Secure eHealth: A Secure eHealth System to Detect COVID using Image Steganography." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0304.

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COVID-19 is a pandemic which has spread to all parts of the world. Detection of COVID infection is crucial to prevent the spread further. Contactless healthcare systems are essential which can be implemented with Cloud computing. Privacy and security of the medical image data transferred through untrusted channels cannot be ensured. The main aim is to secure the medical details when transferring them from the end device to the cloud and vice versa using image steganography. The medical lung images are masked under a normal and natural cover images.
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Mukhopadhyay, Adwitiya, Sreenadh M, and Anoop A. "eHealth Applications: A Comprehensive Approach." In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). IEEE, 2020. http://dx.doi.org/10.1109/ic-etite47903.2020.165.

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Reports on the topic "Ehealth"

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Hyppönen, Hannele, Arild Faxvaag, Heidi Gilstad, Gudrun Audur Hardardottir, Lars Jerlvall, Maarit Kangas, Sabine Koch, et al. Nordic eHealth Indicators. Nordic Council of Ministers, September 2013. http://dx.doi.org/10.6027/tn2013-522.

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Sendanyoye, Claudia, Sebastian Steven, and Sam Petrie. Patient and Provider Perspectives on Rural eHealth Interventions. Spatial Determinants of Health Lab, Carleton University, August 2019. http://dx.doi.org/10.22215/sdhlab/2019.3.

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Paskaran, S., M. LeBlanc, S. Petrie, and P. Peters. Infographic: eHealth Chronic Disease Management for Older Adults. Spatial Determinants of Health Lab, Carleton University, November 2019. http://dx.doi.org/10.22215/sdhlab/kt/2019.5.

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Hondonga, Tadi, Claudia Sendanyoye, Alexa Mahling, Monica Sourial, Sajra Trto, and Paul A. Peters. Report: Potential for eHealth in rural and remote follow-up care. Spatial Determinants of Health Lab, Carleton University, July 2021. http://dx.doi.org/10.22215/sdhlab/2021.1.

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Konrad, Kornelia, Verena Schulze Greiving, and Paul Benneworth. The role of user-led regional innovation networks in shaping responsible innovation in eHealth. University of Twente, Science, Technology & Policy Studies, December 2018. http://dx.doi.org/10.3990/4.2589-2169.2018.01.

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