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McCullagh, P. J., H. Zheng, N. D. Black, R. Davies, S. Mawson, and K. McGlade. "Section 1: Medical Informatics and eHealth." Technology and Health Care 16, no. 5 (December 23, 2008): 381–97. http://dx.doi.org/10.3233/thc-2008-16507.
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Huang, H. K. "Medical imaging, PACS, and imaging informatics: retrospective." Radiological Physics and Technology 7, no. 1 (December 6, 2013): 5–24. http://dx.doi.org/10.1007/s12194-013-0245-y.
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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.
Повний текст джерелаАнотація:
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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Edirippulige, Sisira, Peter Brooks, Colin Carati, Victoria A. Wade, Anthony C. Smith, Sumudu Wickramasinghe, and Nigel R. Armfield. "It’s important, but not important enough: eHealth as a curriculum priority in medical education in Australia." Journal of Telemedicine and Telecare 24, no. 10 (October 22, 2018): 697–702. http://dx.doi.org/10.1177/1357633x18793282.
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Information and communications technology has become central to the way in which health services are provided. Technology-enabled services in healthcare are often described as eHealth, or more recently, digital health. Practitioners may require new knowledge, skills and competencies to make best use of eHealth, and while universities may be a logical place to provide such education and training, a study in 2012 found that the workforce was not being adequately educated to achieve competence to work with eHealth. We revisited eHealth education and training in Australian universities with a focus on medical schools; we aimed to explore the progress of eHealth in the Australian medical curriculum. We conducted a national interview study and interpretative phenomenological analysis with participants from all 19 medical schools in Australia; two themes emerged: (i) consensus on the importance of eHealth to current and future clinical practice; (ii) there are other priorities, and no strong drivers for change. Systemic problems inhibit the inclusion of eHealth in medical education: the curriculum is described as ‘crowded’ and with competing demands, and because accrediting bodies do not expect eHealth competence in medical graduates, there is no external pressure for its inclusion. Unless and until accrediting bodies recognise and expect competence in eHealth, it is unlikely that it will enter the curriculum; consequently the future workforce will remain unprepared.
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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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Duerinckx, Andre J., John J. Kenagy, and Edward G. Grant. "Planning and cost analysis of digital radiography services for a network of hospitals the Veterans Integrated Service Network." Journal of Telemedicine and Telecare 4, no. 3 (September 1, 1998): 172–78. http://dx.doi.org/10.1258/1357633981932163.
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This study analysed the design and cost of a picture archiving and communications system PACS , computerized radiography CR and a wide-area network for teleradiology. The Desert Pacific Healthcare Network comprises 10 facilities, including four tertiary medical centres and one small hospital. Data were collected on radiologists' workloads, and patient and image flow within and between these medical centres. These were used to estimate the size and cash flows associated with a system-wide implementation of PACS, CR and teleradiology services. A cost analysis model was used to estimate the potential cost savings in a filmless radiology environment. ATM technology was selected as the communications medium between the medical centres. A strategic plan and business plan were successfully developed. The cost model predicted the cost-effectiveness of the proposed PACS CR configuration within four to six years, if the base costs were kept low. The experience gained in design and cost analysis of a PACS teleradiology network will serve as a model for similar projects.
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Chouvarda, I., and N. Maglaveras. "Medical Informatics Education & Research in Greece." Yearbook of Medical Informatics 24, no. 01 (August 2015): 220–26. http://dx.doi.org/10.15265/iy-2015-022.
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Summary Objectives: This paper aims to present an overview of the medical informatics landscape in Greece, to describe the Greek ehealth background and to highlight the main education and research axes in medical informatics, along with activities, achievements and pitfalls. Methods: With respect to research and education, formal and informal sources were investigated and information was collected and presented in a qualitative manner, including also quantitative indicators when possible. Results: Greece has adopted and applied medical informatics education in various ways, including undergraduate courses in health sciences schools as well as multidisciplinary postgraduate courses. There is a continuous research effort, and large participation in EU-wide initiatives, in all the spectrum of medical informatics research, with notable scientific contributions, although technology maturation is not without barriers. Wide-scale deployment of eHealth is anticipated in the healthcare system in the near future. While ePrescription deployment has been an important step, ICT for integrated care and telehealth have a lot of room for further deployment. Conclusions: Greece is a valuable contributor in the European medical informatics arena, and has the potential to offer more as long as the barriers of research and innovation fragmentation are addressed and alleviated.
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Li, Jia, Kanghui Yu, Xinyu Bao, Xuan Liu, and Junping Yao. "Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study." Journal of Medical Internet Research 23, no. 8 (August 13, 2021): e29299. http://dx.doi.org/10.2196/29299.
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Background User engagement is a key performance variable for eHealth websites. However, most existing studies on user engagement either focus on a single website or depend on survey data. To date, we still lack an overview of user engagement on multiple eHealth websites derived from objective data. Therefore, it is relevant to provide a holistic view of user engagement on multiple eHealth websites based on cross-site clickstream data. Objective This study aims to describe the patterns of user engagement on eHealth websites and investigate how platforms, channels, sex, and income influence user engagement on eHealth websites. Methods The data used in this study were the clickstream data of 1095 mobile users, which were obtained from a large telecom company in Shanghai, China. The observation period covered 8 months (January 2017 to August 2017). Descriptive statistics, two-tailed t tests, and an analysis of variance were used for data analysis. Results The medical category accounted for most of the market share of eHealth website visits (134,009/184,826, 72.51%), followed by the lifestyle category (46,870/184,826, 25.36%). The e-pharmacy category had the smallest market share, accounting for only 2.14% (3947/184,826) of the total visits. eHealth websites were characterized by very low visit penetration and relatively high user penetration. The distribution of engagement intensity followed a power law distribution. Visits to eHealth websites were highly concentrated. User engagement was generally high on weekdays but low on weekends. Furthermore, user engagement gradually increased from morning to noon. After noon, user engagement declined until it reached its lowest level at midnight. Lifestyle websites, followed by medical websites, had the highest customer loyalty. e-Pharmacy websites had the lowest customer loyalty. Popular eHealth websites, such as medical websites, can effectively provide referral traffic for lifestyle and e-pharmacy websites. However, the opposite is also true. Android users were more engaged in eHealth websites than iOS users. The engagement volume of app users was 4.85 times that of browser users, and the engagement intensity of app users was 4.22 times that of browser users. Male users had a higher engagement intensity than female users. Income negatively moderated the influence that platforms (Android vs iOS) had on user engagement. Low-income Android users were the most engaged in eHealth websites. Conversely, low-income iOS users were the least engaged in eHealth websites. Conclusions Clickstream data provide a new way to derive an overview of user engagement patterns on eHealth websites and investigate the influence that various factors (eg, platform, channel, sex, and income) have on engagement behavior. Compared with self-reported data from a questionnaire, cross-site clickstream data are more objective, accurate, and appropriate for pattern discovery. Many user engagement patterns and findings regarding the influential factors revealed by cross-site clickstream data have not been previously reported.
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Yachida, Masuyoshi, Tomoho Maeda, Hitoshi Nishimoto, Shouji Yoshida, and Yasuhiko Tohyama. "PACS in Kochi Medical School Hospital." Computer Methods and Programs in Biomedicine 36, no. 2-3 (October 1991): 85–88. http://dx.doi.org/10.1016/0169-2607(91)90051-t.
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Xie, Zhenzhen, Jiayin Chen, and Calvin Kalun Or. "Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis." Journal of Medical Internet Research 24, no. 9 (September 14, 2022): e25959. http://dx.doi.org/10.2196/25959.
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Background Despite the great potential of eHealth, substantial costs are involved in its implementation, and it is essential to know whether these costs can be justified by its benefits. Such needs have led to an increased interest in measuring the benefits of eHealth, especially using the willingness to pay (WTP) metric as an accurate proxy for consumers’ perceived benefits of eHealth. This offered us an opportunity to systematically review and synthesize evidence from the literature to better understand WTP for eHealth and its influencing factors. Objective This study aimed to provide a systematic review of WTP for eHealth and its influencing factors. Methods This study was performed and reported as per the Cochrane Collaboration and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, CINAHL Plus, Cochrane Library, EconLit, and PsycINFO databases were searched from their inception to April 19, 2022. We conducted random-effects meta-analyses to calculate WTP values for eHealth (at 2021 US dollar rates) and meta-regression analyses to examine the factors affecting WTP. Results A total of 30 articles representing 35 studies were included in the review. We found that WTP for eHealth varied across studies; when expressed as a 1-time payment, it ranged from US $0.88 to US $191.84, and when expressed as a monthly payment, it ranged from US $5.25 to US $45.64. Meta-regression analyses showed that WTP for eHealth was negatively associated with the percentages of women (β=−.76; P<.001) and positively associated with the percentages of college-educated respondents (β=.63; P<.001) and a country’s gross domestic product per capita (multiples of US $1000; β=.03; P<.001). Compared with eHealth provided through websites, people reported a lower WTP for eHealth provided through asynchronous communication (β=−1.43; P<.001) and a higher WTP for eHealth provided through medical devices (β=.66; P<.001), health apps (β=.25; P=.01), and synchronous communication (β=.58; P<.001). As for the methods used to measure WTP, single-bounded dichotomous choice (β=2.13; P<.001), double-bounded dichotomous choice (β=2.20; P<.001), and payment scale (β=1.11; P<.001) were shown to obtain higher WTP values than the open-ended format. Compared with ex ante evaluations, ex post evaluations were shown to obtain lower WTP values (β=−.37; P<.001). Conclusions WTP for eHealth varied significantly depending on the study population, modality used to provide eHealth, and methods used to measure it. WTP for eHealth was lower among certain population segments, suggesting that these segments may be at a disadvantage in terms of accessing and benefiting from eHealth. We also identified the modalities of eHealth that were highly valued by consumers and offered suggestions for the design of eHealth interventions. In addition, we found that different methods of measuring WTP led to significantly different WTP estimates, highlighting the need to undertake further methodological explorations of approaches to elicit WTP values.
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Lu, Xinyi, and Runtong Zhang. "Association Between eHealth Literacy in Online Health Communities and Patient Adherence: Cross-sectional Questionnaire Study." Journal of Medical Internet Research 23, no. 9 (September 13, 2021): e14908. http://dx.doi.org/10.2196/14908.
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Background eHealth literacy is significantly associated with patients’ online information behavior, physician-patient relationship, patient adherence, and health outcomes. As an important product of the internet, online health communities (OHCs) can help redistribute idle medical resources, increase medical resource utilization, and improve patient adherence. However, studies on eHealth literacy in OHCs are limited. Therefore, this study examined patients’ eHealth literacy regarding health information–seeking behavior and physician-patient communication in OHCs. Objective This study aimed to investigate the association between eHealth literacy in OHCs and patient adherence by employing social cognitive theory. Methods This was an empirical study, in which a research model consisting of 1 independent variable (patients’ eHealth literacy), 3 mediators (physician-patient communication in OHCs, patient health information–seeking behavior in OHCs, and patients’ perceived quality of health information in OHCs), 1 dependent variable (patient adherence), and 4 control variables (age, gender, living area, and education level) was established to examine the associations. Multi-item scales were used to measure variables. An anonymous online survey involving 560 participants was conducted through Chinese OHCs in July 2018 to collect data. Partial least squares and structural equation modeling were adopted to analyze data and test hypotheses. Results The survey response rate was 79.6% (446/560). The reliability, convergent validity, and discriminant validity were acceptable. Age, gender, living area, and education level were positively associated with patient adherence, and gender was positively associated with physician-patient communication and patients’ perceived quality of internet health information in OHCs. Patients’ eHealth literacy was positively associated with patient adherence through the mediations of physician-patient communication, internet health information–seeking behavior, and perceived quality of internet health information in OHCs. Conclusions Results indicate that physician-patient communication, internet health information–seeking behavior, and the perceived quality of internet health information are significantly associated with improving patient adherence via a guiding of eHealth literacy in OHCs. These findings suggest that physicians can understand and guide their patients’ eHealth literacy to improve treatment efficiency; OHCs’ operators should this strengthen the management of information quality, develop user-friendly features, and minimize the gap between the actual and perceived information quality.
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Strintzis, Michael G. "A review of compression methods for medical images in PACS." International Journal of Medical Informatics 52, no. 1-3 (October 1998): 159–65. http://dx.doi.org/10.1016/s1386-5056(98)00135-x.
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Mengestie, Nebyu Demeke, Tesfahun Melese Yilma, Miftah Abdella Beshir, and Genet Kiflemariam Paulos. "eHealth Literacy of Medical and Health Science Students and Factors Affecting eHealth Literacy in an Ethiopian University: A Cross-Sectional Study." Applied Clinical Informatics 12, no. 02 (March 2021): 301–9. http://dx.doi.org/10.1055/s-0041-1727154.
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Abstract Background eHealth literacy is individual's ability to look for, understand, and evaluate health information from electronic sources. Integrating eHealth literacy to the health system could help lower health care costs and ensure health equity. Despite its importance, the eHealth literacy level in Ethiopia has not been studied on medical and health science students, who are important parties in the health system. Understanding their level of eHealth literacy augments practice of health care, efficiency in education, and use of eHealth technologies. Objective This research study aims to determine eHealth literacy level and identify its associated factors among medical and health science students in University of Gondar (UoG). Methods An institution-based cross-sectional study was conducted from March to May 2019 among undergraduate medical and health science students in the UoG. Stratified multistage sampling was used. The eHealth literacy scale was used to measure eHealth literacy. A binary logistic regression model was fitted to measure association between eHealth literacy and the independent variables. Results A total of 801 students participated in this study with a 94.6% of response rate. The majority (60%) were male and previously lived-in urban areas (68%). The mean eHealth literacy score was 28.7 and 60% of the participants possessed high eHealth literacy. Using health-specific Web sites (adjusted odds ratio [AOR] = 2.84, 95% confidence interval [CI]: 1.86–4.33), having higher Internet efficacy (AOR = 2.26, 95% CI: 1.56–3.26), perceived usefulness of the Internet (AOR = 3.33, 95% CI: 1.95–5.69), medical app use (AOR = 1.70, 95% CI: 1.13–2.55), being female (AOR = 1.55, 95% CI: 1.08–2.22), and being health informatics student (AOR = 2.02, 95% CI: 1.149–3.148) affect a high eHealth literacy level. Conclusion The level of eHealth literacy in this study was moderate. Using specific reputable health Web sites, using smartphone medical applications, and Internet efficacy determine eHealth literacy significantly.
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D’Asseler, Y., M. Koole, K. Van Laere, S. Vandenberghe, L. Bouwens, R. Van de Walle, C. Van de Wiele, I. Lemahieu, and R. A. Dierckx. "PACS and multimodality in medical imaging." Technology and Health Care 8, no. 1 (February 1, 2000): 35–52. http://dx.doi.org/10.3233/thc-2000-8104.
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Drosatos, George, and Eleni Kaldoudi. "A probabilistic semantic analysis of eHealth scientific literature." Journal of Telemedicine and Telecare 26, no. 7-8 (May 12, 2019): 414–32. http://dx.doi.org/10.1177/1357633x19846252.
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Introduction eHealth emerged as an interdisciplinary research area about 70 years ago. This study employs probabilistic techniques to semantically analyse scientific literature related to the field of eHealth in order to identify topics and trends and discuss their comparative evolution. Methods Authors collected titles and abstracts of published literature on eHealth as indexed in PubMed. Basic statistical and bibliometric techniques were applied to overall describe the collected corpus; Latent Dirichlet Allocation was employed for unsupervised topics identification; topics trends analysis was performed, and correlation graphs were plotted were relevant. Results A total of 30,425 records on eHealth were retrieved from PubMed (all records till 31 December 2017, search on 8 May 2018) and 23,988 of these were included to the study corpus. eHealth domain shows a growth higher than the growth of the entire PubMed corpus, with a mean increase of eHealth corpus proportion of about 7% per year for the last 20 years. Probabilistic topics modelling identified 100 meaningful topics, which were organised by the authors in nine different categories: general; service model; disease; medical specialty; behaviour and lifestyle; education; technology; evaluation; and regulatory issues. Discussion Trends analysis shows a continuous shift in focus. Early emphasis on medical image transmission and system integration has been replaced by increased focus on standards, wearables and sensor devices, now giving way to mobile applications, social media and data analytics. Attention on disease is also shifting, from initial popularity of surgery, trauma and acute heart disease, to the emergence of chronic disease support, and the recent attention to cancer, infectious disease, mental disorders, paediatrics and perinatal care; most interestingly the current swift increase is in research related to lifestyle and behaviour change. The steady growth of all topics related to assessment and various systematic evaluation techniques indicates a maturing research field that moves towards real world application.
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Hackl, W. O., J. Hofdijk, L. Van Gemert-Pijnen, E. Ammenwerth, P. Nykänen, A. Hoerbst, and A. Moen. "eHealth in Europe – Status and Challenges." Yearbook of Medical Informatics 22, no. 01 (August 2013): 59–63. http://dx.doi.org/10.1055/s-0038-1638833.
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Summary Objectives: To present European reflections on the concept of eHealth and emerging challenges related to further development of eHealth in Europe. Methods: A survey with 10 questions was distributed to representatives of the national member associations of the European Federation of Medical Informatics (EFMI). Results: The results document a shift from a constricting ICT-orientation to development of the entire health system where eHealth strategies, organizational change, and appropriate technological infrastructure are singled out as important aspects. Conclusion: There are urgent needs to ensure that eHealth strategies and policies for further design and deployment of eHealth applications support sociable services and innovations in health care.
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Tokareva, Victoria. "Architecture of distributed picture archiving and communication systems for storing and processing high resolution medical images." EPJ Web of Conferences 177 (2018): 05004. http://dx.doi.org/10.1051/epjconf/201817705004.
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New generation medicine demands a better quality of analysis increasing the amount of data collected during checkups, and simultaneously decreasing the invasiveness of a procedure. Thus it becomes urgent not only to develop advanced modern hardware, but also to implement special software infrastructure for using it in everyday clinical practice, so-called Picture Archiving and Communication Systems (PACS). Developing distributed PACS is a challenging task for nowadays medical informatics. The paper discusses the architecture of distributed PACS server for processing large high-quality medical images, with respect to technical specifications of modern medical imaging hardware, as well as international standards in medical imaging software. The MapReduce paradigm is proposed for image reconstruction by server, and the details of utilizing the Hadoop framework for this task are being discussed in order to provide the design of distributed PACS as ergonomic and adapted to the needs of end users as possible.
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Holmen, Heidi, Kirsti Riiser, and Anette Winger. "Home-Based Pediatric Palliative Care and Electronic Health: Systematic Mixed Methods Review." Journal of Medical Internet Research 22, no. 2 (February 28, 2020): e16248. http://dx.doi.org/10.2196/16248.
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Background Children and families in pediatric palliative care depend on close contact with health care personnel, and electronic health (eHealth) is suggested to support care at home by facilitating their remote interactions. Objective This study aimed to identify and review the use of eHealth to communicate and support home-based pediatric palliative care and appraise the methodological quality of the published research. Methods We conducted a convergent, systematic mixed methods review and searched Medical Literature Analysis and Retrieval System Online (Medline), EMBASE, PsycINFO, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and Scopus for eligible papers. Studies evaluating 2-way communication technology for palliative care for children aged ≤18 years and applying quantitative, qualitative, or mixed methods from 2012 to 2018 were eligible for inclusion. Quantitative and qualitative studies were equally valued during the search, screening, extraction, and analysis. Quantitative data were transformed into qualitative data and analyzed using a thematic analysis. Overall, 2 independent researchers methodologically appraised all included studies. Results We identified 1277 citations. Only 7 papers were eligible for review. Evaluating eHealth interventions in pediatric palliative care poses specific methodological and ethical challenges. eHealth to facilitate remote pediatric palliative care was acknowledged both as an intrusion and as a support at home. Reluctance toward eHealth was mainly identified among professionals. Conclusions The strengths of the conclusions are limited by the studies’ methodological challenges. Despite the limitless possibilities held by new technologies, research on eHealth in home-based pediatric palliative care is scarce. The affected children and families appeared to hold positive attitudes toward eHealth, although their views were less apparent compared with those of the professionals. Trial Registration PROSPERO CRD42018119051; https://tinyurl.com/rtsw5ky
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Silvestri, Stefano, and Francesco Gargiulo. "Special Issue on Big Data for eHealth Applications." Applied Sciences 12, no. 15 (July 28, 2022): 7578. http://dx.doi.org/10.3390/app12157578.
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Nakajima, Isao, and Yasumitsu Tomioka. "Aspects of Information Communications Technology for Better Medical Control." International Journal of E-Health and Medical Communications 1, no. 1 (January 2010): 18–27. http://dx.doi.org/10.4018/jehmc.2010010102.
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The 3G mobile phone has propagation problems in urban areas and experiences severe congestion after major disasters in supporting mobile eHealth. We expect a Quasi-zenith satellite with nationwide coverage. In near future, the data transmission of image of pharygoscopy, motion picture of light reflex, 12-leads ECG, automated ultrasonic echo and vital signs from ambulances shall be performed to assist medical control. For example, Thrombolytic agents are reportedly effective even when injected into a vein, if injected in the early stages of acute myocardial infarction, which will reduce medical costs, resulting in high-quality services available uniformly across the nation. This paper describes Japanese aspects of mobile eHealth to support ambulatory applications.
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Jain, Kriti M., Prashanth Bhat, Cathy Maulsby, Alexandria Andersen, Tomas Soto, Ashley Tarrant, David R. Holtgrave, Erin Nortrup, Melissa Werner, and Laurie Dill. "Extending access to care across the rural US south: Preliminary results from the Alabama eHealth programme." Journal of Telemedicine and Telecare 25, no. 5 (February 15, 2018): 301–9. http://dx.doi.org/10.1177/1357633x18755227.
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Purpose Using a mixed-methods formative evaluation, the purpose of this study was to provide a broad overview of the Alabama eHealth programme set-up and initial patient outcomes. The Alabama eHealth programme uses telemedicine to provide medical care to people living with HIV in rural Alabama. It was led by a community-based organisation, Medical Advocacy and Outreach (MAO), and supported by AIDS United and the Corporation for National Community Service’s Social Innovation Fund with matching support from non-federal donors. Methods We conducted and transcribed in-depth interviews with Alabama eHealth staff and then performed directed content analysis. We also tracked patients’ ( n = 240) appointment attendance, CD4 counts, and viral loads. Findings Staff described the steps taken to establish the programme, associated challenges (e.g., costly, inadequate broadband in rural areas), and technology enabling this programme (electronic medical records, telemedicine equipment). Of all enrolled patients, 76% were retained in care, 88% had antiretroviral therapy and 75% had a suppressed viral load. Among patients without missing data, 96% were retained in care, 97% used antiretroviral therapy and 93% had suppressed viral loads. There were no statistically significant demographic differences between those with and without missing data. Conclusions Patients enrolled in a telemedicine programme evaluation successfully moved through the HIV continuum of care.
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Hilgers, R. D., R. Hofestädt, P. Knaup-Gregori, C. Ose, A. Timmer, and A. Winter. "More than Four Decades of Medical Informatics Education for Medical Students in Germany." Methods of Information in Medicine 52, no. 03 (2013): 181–83. http://dx.doi.org/10.1055/s-0038-1627057.
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SummaryThe publication of German competency-based learning objectives “Medical Informatics” for undergraduate medical education gives reason to report on more publications of the German journal GMS Medical Informatics, Biometry and Epidemiology ( MIBE ) in Methods. The publications in focus deal with support of medical education by health and biomedical informatics, hospital information systems and their relation to medical devices, transinstitutional health information systems and the need of national eHealth strategies, epidemiological research on predicting high consumption of resources, and with the interaction of epidemiologists and medical statisticians in examining mortality risks in diabetes, in genome wide association studies and in dealing with limits and thresholds. This report is the beginning of an annual series intending to support better international cooperation to achieve good information as a basis for good medicine and good healthcare.
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Altuwaijri, M. M., Y. C. Li, M. J. Ball, R. Haux, and C. U. Lehmann. "Translational Research in Medical Informatics or from Theory to Practice." Methods of Information in Medicine 47, no. 01 (2008): 1–3. http://dx.doi.org/10.1055/s-0038-1625124.
Повний текст джерелаАнотація:
Summary Objective: To bridge the divide between health informatics ‘bench research’ and the application of informatics in clinical and health care settings. Method: Identifying weak points in translational activities, i.e. in the process from health informatics research outcomes to IT system design and information management in clinical practice. Results and Conclusions: The creation of a new peer-reviewed journal, designed to cultivate broad readership across health care, is suggested in order to communicate on informatics topics of translational interest and on the application of informatics principals. Such an applied informatics journal may appeal to practicing physicians, healthcare administrators and CIOs as well as medical informaticians. In a globalizing world with eHealth initiatives spanning across borders, such a journal should be an international effort. Close ties to the International Medical Informatics Association (IMIA) and to the journal Methods of Information in Medicine are suggested.
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Setyawan, Nurhuda Hendra, and Yana Supriatna. "Implementasi Picture Archiving and Communication System (PACS) dan Radiology Information System (RIS) di RSUP Dr. Sardjito Yogyakarta." Jurnal Radiologi Indonesia 1, no. 4 (May 1, 2016): 260–74. http://dx.doi.org/10.33748/jradidn.v1i4.35.
Повний текст джерелаАнотація:
Picture Archiving and Communication System (PACS) is an inter-and intra-institution computing system that manages the acquisition, transmission, storage, distribution, display, and interpretation of medical images. Advances in radiology informatics to date, including the integration of PACS and Radiology Information System (RIS) to department work?ow, has done much to improve the efciency of the department. PACS component includes image acquisition modality, network system, archiving system, image viewer system, radiology information system, and remote access. Acceptance testing is an important thing to be done before a user entirely accepts PACS and RIS system in a daily radiology practice.The purpose of this article is to deliver an important specifcation and the desired options and features of modern PACS, related to acquisition, archives and display system; connectivity of Radiology Information System (RIS); and distribution of images inside and outside the hospital. Some major practical issues that must be considered in the implementation of PACS and RIS will also be discussed. In addition, it will also discuss the process of implementation of PACS and RIS at Dr. Sardjito Hospital
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Van Gennip, E. M. S. J., and A. R. Barker. "Challenges and opportunities for Technology Assessment in Medical Informatics. Case study: PACS." Medical Informatics 18, no. 3 (January 1993): 209–18. http://dx.doi.org/10.3109/14639239309025311.
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Ma, Xiang, Kun Ding, and Joseph Z. Shyu. "A Comparative Policy Analysis in the E-Health Industry Between China and the USA." International Journal of E-Health and Medical Communications 11, no. 4 (October 2020): 34–49. http://dx.doi.org/10.4018/ijehmc.2020100103.
Повний текст джерелаАнотація:
With the problems of neonatal survival and aging of the population becoming increasingly serious, the voice that longs for a new model of the medical industry is pushed to the limelight in the society. Gradually, a neologism “eHealth” is perceived by the public. A number of countries believe the eHealth industry will be the most promising industry in the 21st century, and policies should be made to promote its development. From the view of the policy tools, this paper proposes a theoretical analysis framework for the eHealth industry to compare the policies of the eHealth industry between China and the USA, who respectively enacted “Healthy China 2030” and “Federal Health IT Strategic Plan (2015-2020).” The results illustrate that China prefers to use “demand side policy,” which focuses on “legal and regulatory” and “public services.” While the USA prefers to use “supply side policy,” which focuses on “public services.” Moreover, this study unscrambles the specific policy terms and provides the policy recommendations for the further development of the eHealth industry.
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Ekeland, Anne Granstrom, and Line Helen Linstad. "Elaborating Models of eHealth Governance: Qualitative Systematic Review." Journal of Medical Internet Research 22, no. 10 (October 28, 2020): e17214. http://dx.doi.org/10.2196/17214.
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Background Large-scale national eHealth policy programs have gained attention not only for benefits but also for several unintended consequences and failed expectations. Given the complex and mixed accounts of the results, questions have been raised on how large-scale digitalization programs are governed to reach health policy goals of quality improvement and equal access along with necessary digital transformations. In this qualitative systematic review, we investigate the following question: How is governance implemented and considered in the studies included in the qualitative review? Objective The aim of this study is to arrive at informed and recognizable conceptualizations and considerations of models of governance connected to eHealth, as presented and discussed in the scientific literature. In turn, we hope our results will help inform the discussion of how to govern such processes to obtain collectively negotiated objectives. Methods A qualitative systematic review is a method for integrating or comparing with the findings from qualitative studies. It looks for “themes” or “constructs” that lie in or across individual qualitative studies. This type of review produces a narrative synthesis with thematic analysis and includes interpretive conceptual models. The goal is an interpretation and broadens the understanding of a particular phenomenon. We searched the PubMed database using predefined search terms and selected papers published from 2010 onwards. We specified the criteria for selection and quality assessment. Results The search returned 220 papers. We selected 44 abstracts for full-text reading, and 11 papers were included for full-text synthesis. On the basis of the 11 papers, we constructed four governance models to categorize and conceptualize the findings. The models are political governance, normally depicting top-down processes; medical governance, which normally depicts bottom-up processes; the internet and global model, emphasizing international business strategies coupled with the internet; self-governance, which builds upon the development of the internet and Internet of Things, which has paved the way for personal governance and communication of one’s own health data. Conclusions Collective negotiations between the nation-state and global policy actors, medical and self-governance actors, and global business and industry actors are essential. Technological affordances represent both positive and negative opportunities concerning the realization of health policy goals, and future studies should scrutinize this dynamic.
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Boyer, C. "Education and Consumer Informatics: Improvements in Existing Systems." Yearbook of Medical Informatics 17, no. 01 (August 2008): 88–90. http://dx.doi.org/10.1055/s-0038-1638587.
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Summary Objectives To provide an overview of the current excellent research done in the field of advancements in Education and Consumer Informatics as well as studies done to better understand, the already existing systems. Method Synopsis of the articles on education and consumer health selected for the IMIA Yearbook of Medical Informatics 2008. Results In the domain of education, eHealth literacy becomes a key topic and a challenge, the Internet evolving as the primary medium to access health information. A system developed to measure the eHealth literacy level of consumers reflects the importance of this skill. In consumer health informatics, the selected papers emphasize valuable advances in bridging the information gap as well as the growing implementation of functioning systems. Conclusion The selected articles highlight the need for recognising existing weak links in the healthcare system and then strengthening them through patient education and involvement, as well as possible improvements through real-world implementations.
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Machleid, Felix, Robert Kaczmarczyk, Doreen Johann, Justinas Balčiūnas, Beatriz Atienza-Carbonell, Finn von Maltzahn, and Lina Mosch. "Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey." Journal of Medical Internet Research 22, no. 8 (August 14, 2020): e19827. http://dx.doi.org/10.2196/19827.
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Background Digital health technologies hold promise to enhance patient-related outcomes, to support health care staff by reducing their workload, and to improve the coordination of care. As key users of digital health technologies, health care workers are crucial to enable a meaningful digital transformation of health care. Digital health literacy and digital skills should become prerequisite competencies for health professionals to facilitate the implementation and leverage the potential of digital technologies to improve health. Objective We aimed to assess European medical students’ perceived knowledge and opinions toward digital health, the status of digital health implementation in medical education, and the students’ most pressing needs. Methods The explanatory design of our mixed methods study was based on an online, anonymous, self-administered survey targeted toward European medical students. A linear regression analysis was used to identify the influence of the year of medical studies on the responses. Additional analysis was performed by grouping the responses by the self-evaluated frequency of eHealth technology use. Written responses to four qualitative questions in the survey were analyzed using an inductive approach. Results The survey received a total of 451 responses from 39 European countries, and there were respondents for every year of medical studies. The majority of respondents saw advantages in the use of digital health. While 40.6% (183/451) felt prepared to work in a digitized health care system, more than half (240/451, 53.2%) evaluated their eHealth skills as poor or very poor. Medical students considered lack of education to be the reason for this, with 84.9% (383/451) agreeing or strongly agreeing that more digital health education should be implemented in the medical curriculum. Students demanded introductory and specific eHealth courses covering data management, ethical aspects, legal frameworks, research and entrepreneurial opportunities, role in public health and health systems, communication skills, and practical training. The emphasis lay on tailoring learning to future job requirements and interprofessional education. Conclusions This study shows a lack of digital health-related formats in medical education and a perceived lack of digital health literacy among European medical students. Our findings indicate a gap between the willingness of medical students to take an active role by becoming key players in the digital transformation of health care and the education that they receive through their faculties.
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Rauwerdink, Anneloek, Marise J. Kasteleyn, Joke A. Haafkens, Niels H. Chavannes, and Marlies P. Schijven. "A national eHealth vision developed by University Medical Centres: A concept mapping study." International Journal of Medical Informatics 133 (January 2020): 104032. http://dx.doi.org/10.1016/j.ijmedinf.2019.104032.
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Alaqra, Ala Sarah, Bridget Kane, and Simone Fischer-Hübner. "Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives." JMIR Human Factors 8, no. 3 (September 16, 2021): e21810. http://dx.doi.org/10.2196/21810.
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Background Third-party cloud-based data analysis applications are proliferating in electronic health (eHealth) because of the expertise offered and their monetary advantage. However, privacy and security are critical concerns when handling sensitive medical data in the cloud. Technical advances based on “crypto magic” in privacy-preserving machine learning (ML) enable data analysis in encrypted form for maintaining confidentiality. Such privacy-enhancing technologies (PETs) could be counterintuitive to relevant stakeholders in eHealth, which could in turn hinder adoption; thus, more attention is needed on human factors for establishing trust and transparency. Objective The aim of this study was to analyze eHealth expert stakeholders’ perspectives and the perceived tradeoffs in regard to data analysis on encrypted medical data in the cloud, and to derive user requirements for development of a privacy-preserving data analysis tool. Methods We used semistructured interviews and report on 14 interviews with individuals having medical, technical, or research expertise in eHealth. We used thematic analysis for analyzing interview data. In addition, we conducted a workshop for eliciting requirements. Results Our results show differences in the understanding of and in trusting the technology; caution is advised by technical experts, whereas patient safety assurances are required by medical experts. Themes were identified with general perspectives on data privacy and practices (eg, acceptance of using external services), as well as themes highlighting specific perspectives (eg, data protection drawbacks and concerns of the data analysis on encrypted data). The latter themes result in requiring assurances and conformance testing for trusting tools such as the proposed ML-based tool. Communicating privacy, and utility benefits and tradeoffs with stakeholders is essential for trust. Furthermore, stakeholders and their organizations share accountability of patient data. Finally, stakeholders stressed the importance of informing patients about the privacy of their data. Conclusions Understanding the benefits and risks of using eHealth PETs is crucial, and collaboration among diverse stakeholders is essential. Assurances of the tool’s privacy, accuracy, and patient safety should be in place for establishing trust of ML-based PETs, especially if used in the cloud.
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Quispe-Juli, Cender U., and Carlos Jesús Aragón-Ayala. "Health informatics in medical education in Peru: are we ready for digital health?" Anales de la Facultad de Medicina 83, no. 4 (November 15, 2022): 369–70. http://dx.doi.org/10.15381/anales.v83i4.23887.
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Dear Editor, Digital health applications have demonstrated benefits in several healthcare outcomes therefore it has become a serious alternative to getting Sustainable Development Goals 2030 related to health (1). In recent years, Latin America is creating policies and strategies for digital health. Peru is one of the earliest countries in Latin America that establish policies for eHealth and digital health but its implementation in the real world is limited (2). It is well known that some medical schools have courses related to informatics, Health Informatics (HI), or even medical informatics but there is no evidence about how many of peruvian medical schools teach HI within their curricula or what content or topics are provided.
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Idris, Muhammed Yassin, Maya Korin, Faven Araya, Sayeeda Chowdhury, Patty Medina, Larissa Cruz, Trey-Rashad Hawkins, Humberto Brown, and Luz Claudio. "Including the Public in Public eHealth: The Need for Community Participation in the Development of State-Sponsored COVID-19–Related Mobile Apps." JMIR mHealth and uHealth 10, no. 3 (March 9, 2022): e30872. http://dx.doi.org/10.2196/30872.
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The COVID-19 pandemic has overwhelmed health care systems worldwide, particularly in underresourced communities of color with a high prevalence of pre-existing health conditions. Many state governments and health care entities responded by increasing their capacity for telemedicine and disease tracking and creating mobile apps for dissemination of medical information. Our experiences with state-sponsored apps suggest that because many of these eHealth tools did not include community participation, they inadvertently contributed to widening digital health disparities. We propose that, as eHealth tools continue to expand as a form of health care, more attention needs to be given to their equitable distribution, accessibility, and usage. In this viewpoint collaboratively written by a minority-serving community-based organization and an eHealth academic research team, we present our experience participating in a community advisory board working on the dissemination of the COVID Alert NY mobile app to illustrate the importance of public participation in app development. We also provide practical recommendations on how to involve community representatives in the app development process. We propose that transparency and community involvement in the process of app development ultimately increases buy-in, trust, and usage of digital technology in communities where they are needed most.
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Geissbuhler, A., R. Haux, and S. Y. Kwankam. "Towards Health for All: WHO and IMIA Intensify Collaboration." Methods of Information in Medicine 46, no. 05 (2007): 503–5. http://dx.doi.org/10.1160/me5006.
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Summary Objective: To intensify the collaboration between WHO, the World Health Organization, and IMIA, the International Medical Informatics Association. Methods: Identifying key areas of collaboration and publishing a joint communiqué during Medinfo 2007 in Brisbane, Australia. Results and Conclusions: WHO and IMIA have identified three keyareas of joint work for the next three years: the Global Observatory for eHealth, the use of I CT for the development of the health and health care workforce, and sharing eHealth products and services related to intellectual property for development.
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Gell, G. "PACS Development in Austria: A Discussion of Success Criteria and Success Factors." Methods of Information in Medicine 45, no. 01 (2006): 102–7. http://dx.doi.org/10.1055/s-0038-1634045.
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Summary Objectives: The paper uses the example of PACS (Picture Archiving and Communication System) in Austria (where some of the earliest large PACS projects were realised and led to a high penetration with state-wide networked PACS installations) to discuss success criteria and success factors of medical information systems. Methods: The paper describes the development of digital imaging in medicine and classifies the impact of systems according to their first or second order effects on patient care. The historic goals of PACS and the technical infrastructure in the eighties are shortly described.The paper then outlines the early PACS projects in Austria and their different approaches as well as the present state of PACS in Austria. Results: After giving a definition of success, success criteria (which allow to decide whether a system is in fact a success or not) are discussed in general – the final criterion being routine use – and in detail and it is concluded that PACS in Austria was and is indeed successful. Conclusion: The analysis of success factors shows a multitude of influences but the most decisive ones are the practical ability of the system to deliver a real service to health care and the ability to support the (key) users in their work and goals.
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van Steenbergen, Gijs, Dennis van Veghel, Dideke van Lieshout, Merel Sperwer, Joost ter Woorst, and Lukas Dekker. "Effects of Video-Based Patient Education and Consultation on Unplanned Health Care Utilization and Early Recovery After Coronary Artery Bypass Surgery (IMPROV-ED): Randomized Controlled Trial." Journal of Medical Internet Research 24, no. 8 (August 26, 2022): e37728. http://dx.doi.org/10.2196/37728.
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Background Health care utilization after coronary artery bypass graft (CABG) surgery is high and is partly of an unplanned nature. eHealth applications have been proposed to reduce care consumption, which involve and assist patients in their recovery. In this way, health care expenses could be reduced and quality of care could be improved. Objective The aim of this study was to evaluate if an eHealth program can reduce unplanned health care utilization and improve mental and physical health in the first 6 weeks after CABG surgery. Methods A single-blind randomized controlled trial was performed, in which patients scheduled for nonacute CABG surgery were included from a single center in the Netherlands between February 2020 and October 2021. Participants in the intervention group had, alongside standard care, access to an eHealth program consisting of online education videos and video consultations developed in conjunction with the Dutch Heart Foundation. The control group received standard care. The primary outcome was the volume and costs of a composite of unplanned health care utilization, including emergency department visits, outpatient clinic visits, rehospitalization, patient-initiated telephone consultations, and visits to a general practitioner, measured using the Medical Technology Assessment Medical Consumption Questionnaire. Patient-reported anxiety and recovery were also assessed. Intention-to-treat and “users-only” analyses were used. Results During the study period, 280 patients were enrolled and randomly allocated at a 1:1 ratio to the intervention or control group. The intention-to-treat analysis consisted of 136 and 135 patients in the intervention and control group, respectively. At 6 weeks, the primary endpoint had occurred in 43 of 136 (31.6%) patients in the intervention group and in 61 of 135 (45.2%) patients in the control group (hazard ratio 0.56, 95% CI 0.34-0.92). Recovery was faster in the intervention group, whereas anxiety was similar between study groups. “Users-only” analysis yielded similar results. Conclusions An eHealth strategy comprising educational videos and video consultations can reduce unplanned health care utilization and can aid in faster patient-reported recovery in patients following CABG surgery. Trial Registration Netherlands Trial Registry NL8510; https://trialsearch.who.int/Trial2.aspx?TrialID=NL8510 International Registered Report Identifier (IRRID) RR2-10.1007/s12471-020-01508-9
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van der Kamp, Mattienne, Pamela Reimering Hartgerink, Jean Driessen, Bernard Thio, Hermie Hermens, and Monique Tabak. "Feasibility, Efficacy, and Efficiency of eHealth-Supported Pediatric Asthma Care: Six-Month Quasi-Experimental Single-Arm Pretest-Posttest Study." JMIR Formative Research 5, no. 7 (July 26, 2021): e24634. http://dx.doi.org/10.2196/24634.
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Background Early detection of loss of asthma control can effectively reduce the burden of the disease. However, broad implementation in clinical practice has not been accomplished so far. We are in need of research investigating the operationalization of eHealth pediatric asthma care in practice, which can provide the most potential benefits in terms of adoption, efficiency, and effectiveness. Objective The aim of this study was to investigate the technical and clinical feasibility, including an exploration of the efficacy and cost-efficiency, of an eHealth program implemented in daily clinical pediatric asthma practice. Methods We designed an eHealth-supported pediatric asthma program facilitating early detection of loss of asthma control while increasing symptom awareness and self-management. In the 6-month program, asthma control was monitored by 4 health care professionals (HCPs) by using objective home measurements and the web-based Puffer app to allow timely medical anticipation and prevent treatment delay. Technical feasibility was assessed by technology use, system usability, and technology acceptance. Clinical feasibility was assessed by participation and patient-reported health and care outcomes and via a focus group with HCPs regarding their experiences of implementing eHealth in daily practice. The efficacy and cost-efficiency were explored by comparing pretest-posttest program differences in asthma outcomes (asthma control, lung function, and therapy adherence) and medical consumption. Results Of 41 children, 35 children with moderate-to-severe asthma volunteered for participation. With regard to technical feasibility, the Puffer app scored a good usability score of 78 on the System Usability Scale and a score of 70 for technology acceptance on a scale of 1 to 100. Approximately 75% (18/24) of the children indicated that eHealth helped them to control their asthma during the program. HCPs indicated that home measurements and real time communication enabled them to make safe and substantiated medical decisions during symptom manifestations. With an average time commitment of 15 minutes by patients, eHealth care led to a 80% gross reduction (from €71,784 to €14,018, US $1=€0.85) in health care utilization, 8.6% increase (from 18.6 to 20.2, P=.40) in asthma control, 25.0% increase (from 2.8 to 3.5, P=.04) in the self-management level, and 20.4% improved (from 71.2 to 76.8, P=.02) therapy adherence. Conclusions eHealth asthma care seems to be technically and clinically feasible, enables safe remote care, and seems to be beneficial for pediatric asthma care in terms of health outcomes and health care utilization. Follow-up research should focus on targeted effectiveness studies with the lessons learned, while also enabling individualization of eHealth for personalized health care.
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Charanya R., Saravanaguru R.A.K., and Aramudhan M. "SeFra." International Journal of E-Health and Medical Communications 11, no. 1 (January 2020): 1–16. http://dx.doi.org/10.4018/ijehmc.2020010101.
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Electronic health information is an efficient technique for providing health care services to society. Patient health information is stored in the cloud, to allow access of eHealth information from anywhere, and at any time, but the technical problems are security, privacy, etc. Sharing the medical data in a trustless environment is overcome by the proposed framework SeFra. The proposed work provides a secure framework to manage the eHealth record by using blockchain (SeFra). For authentication purposes, a temporal shadow is used and the integrity of health records is ensured by blockchain technology.
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Towne, Samuel D., Shinduk Lee, Yajuan Li, and Matthew Lee Smith. "Assessment of eHealth capabilities and utilization in residential care settings." Health Informatics Journal 22, no. 4 (July 26, 2016): 1063–75. http://dx.doi.org/10.1177/1460458215610895.
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The US National Survey of Residential Care Facilities was used to conduct cross-sectional analyses of residential care facilities (n = 2302). Most residential care facilities lacked computerized capabilities for one or more of these capabilities in 2010. Lacking computerized systems supporting electronic health information exchange with pharmacies was associated with non-chain affiliation (p < .05). Lacking electronic health information exchange with physicians was associated with being a small-sized facility (vs large) (p < .05). Lacking computerized capabilities for discharge/transfer summaries was associated with for-profit status (p < .05) and small-sized facilities (p < .05). Lacking computerized capabilities for medical provider information was associated with non-chain affiliation (p < .05), small- or medium-sized facilities (p < .05), and for-profit status (p < .05). Lack of electronic health record was associated with non-chain affiliation (p < .05), small- or medium-sized facilities (p < .05), for-profit status (p < .05), and location in urban areas (p < .05). eHealth disparities exist across residential care facilities. As the older adult population continues to grow, resources must be in place to provide an integrated system of care across multiple settings.
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LUNDBERG, N. "Integrating learning contexts in a medical informatics program—preparing for the introduction of PACS." International Journal of Medical Informatics 50, no. 1-3 (June 1998): 87–93. http://dx.doi.org/10.1016/s1386-5056(98)00055-0.
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Agrawal, J. P., B. J. Erickson, and C. E. Kahn. "Imaging Informatics: 25 Years of Progress." Yearbook of Medical Informatics 25, S 01 (August 2016): S23—S31. http://dx.doi.org/10.15265/iys-2016-s004.
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SummaryThe science and applications of informatics in medical imaging have advanced dramatically in the past 25 years. This article provides a selective overview of key developments in medical imaging informatics. Advances in standards and technologies for compression and transmission of digital images have enabled Picture Archiving and Communications Systems (PACS) and teleradiology. Research in speech recognition, structured reporting, ontologies, and natural language processing has improved the ability to generate and analyze the reports of imaging procedures. Informatics has provided tools to address workflow and ergonomic issues engendered by the growing volume of medical image information. Research in computer-aided detection and diagnosis of abnormalities in medical images has opened new avenues to improve patient care. The growing number of medical-imaging examinations and their large volumes of information create a natural platform for “big data“ analytics, particularly when joined with high-dimensional genomic data. Radiogenomics investigates relationships between a disease’s genetic and gene-expression characteristics and its imaging phenotype; this emerging field promises to help us better understand disease biology, prognosis, and treatment options. The next 25 years offer remarkable opportunities for informatics and medical imaging together to lead to further advances in both disciplines and to improve health.
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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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Ninos, Konstantinos, Kostopoulos Spiros, Dimitris Glotsos, Pantelis Georgiadis, Konstantinos Sidiropoulos, Nikolaos Dimitropoulos, Ioannis Kalatzis, and Dionisis Cavouras. "Development and evaluation of a PDA-based teleradiology terminal in thyroid nodule diagnosis." Journal of Telemedicine and Telecare 16, no. 5 (April 27, 2010): 232–36. http://dx.doi.org/10.1258/jtt.2010.090512.
Повний текст джерелаАнотація:
We developed a wireless personal digital assistant (PDA)-based teleradiology terminal which allowed a secure connection to the hospital's Picture Archiving and Communication System (PACS) through the DICOM protocol. Ten members of the hospital's medical staff completed a questionnaire about its mobility, usability, stability, performance and diagnostic efficiency in a real health-care environment. There was a high degree of satisfaction with the system's mobility (mean score 4.1, SD 1.0, on a five-point scale), usability (mean score 4.2, SD 1.1), stability (mean score 3.9, SD 0.4) and performance (mean score 4.2, SD 0.6). The system was evaluated as a tool for providing assistance in diagnosing thyroid nodules from ultrasound images. A total of 144 ultrasound images with thyroid nodules were assessed by an expert. Six image quality attributes were evaluated. The physician concluded that the ultrasound thyroid images on the PDA screen were of similar quality to those displayed on a diagnostic visual display unit screen. However, the expert found difficulties in diagnosing microcalcification, internal echo texture and vascularity. The PDA terminal provided rapid, secure and convenient portable access to PACS images and the image quality was sufficient for diagnostic interpretation of ultrasound images of the thyroid.
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Rodrigues dos Santos, Milton, Luis Bastião Silva, Augusto Silva, and Nelson Pacheco Rocha. "DICOM Metadata Analysis for Population Studies." International Journal of E-Health and Medical Communications 10, no. 1 (January 2019): 1–17. http://dx.doi.org/10.4018/ijehmc.2019010101.
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This article reports an experimental study to determine how to use the stored Digital Imaging and Communication in Medicine (DICOM) metadata to perform population studies. As a case study, it was considered three types of medical imaging studies (i.e. routine head computed tomography, thorax computed radiography and thorax digital radiography) stored in the picture archiving and communication systems (PACS) of three healthcare institutions. The final sample consisted of DICOM metadata belonging to 1370360 images, corresponding to 109160 medical imaging studies performed on 72716 patients. The study followed a methodological approach that allows the identification of the number of patients with performed studies by age group and gender, as well as the average number of studies by patient, age group and gender in each one of the three healthcare institutions. The results show the relevance of the aggregation and analyses of DICOM metadata stored in heterogeneous PACS facilities.
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Duncan, Lisa D., Keith Gray, James M. Lewis, John L. Bell, Jeremy Bigge, and J. Mark McKinney. "Clinical Integration of Picture Archiving and Communication Systems with Pathology and Hospital Information System in Oncology." American Surgeon 76, no. 9 (September 2010): 982–86. http://dx.doi.org/10.1177/000313481007600934.
Повний текст джерелаАнотація:
The complexity of our current healthcare delivery system has become an impediment to communication among caregivers resulting in fragmentation of patient care. To address these issues, many hospitals are implementing processes to facilitate clinical integration in an effort to improve patient care and safety. Clinical informatics, including image storage in a Picture Archiving and Communication System (PACS), represents a tool whereby clinical integration can be accomplished. In this study, we obtained intraoperative photographs of 19 cases to document clinical stage, extent of disease, disease recurrence, reconstruction/grafting, intraoperative findings not identified by preoperative imaging, and site verification as part of the Universal Protocol. Photographs from all cases were stored and viewed in PACS. Images from many of the cases were presented at our interdepartmental cancer conferences. The stored images improved communication among caregivers and preserved pertinent intraoperative findings in the patients’ electronic medical record. In the future, pathology, gastroenterology, pulmonology, dermatology, and cardiology are just a few other subspecialties which could accomplish image storage in PACS. Multidisciplinary image storage in a PACS epitomizes the concept of clinical integration and its goal of improving patient care.
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Pattichis, C. S., M. Kyriakides, A. Pitsillides, E. Kyriacou, M. Dikaiakos, and A. Jossif. "Selected eHealth Applications in Cyprus from the Training Perspective." Methods of Information in Medicine 46, no. 01 (2007): 84–89. http://dx.doi.org/10.1055/s-0038-1628139.
Повний текст джерелаАнотація:
Summary Objectives: In this paper a review of selected eHealth applications in Cyprus is presented linked with their success or failure based on their training activities. Methods: The eHealth systems presented and their training activities include an update of the health information system (HIS) in the public hospitals, a medical system for emergency telemedicine (AMBULANCE and EMERGENCY-112 projects), a home monitoring system for cancer patients (DITIS), a satellite-based network in healthcare applications (EMISPHER and HEALTHWARE projects), and the training activities of the Cyprus Society of Medical Informatics. Different methodologies for training were used ranging from classical approaches like train the trainers, using demo cases followed by personal training, group training, and workshops, to more recent methodologies based on eLearning sessions including teleconsultations. Results: The training was carried out successfully in all cases. However, not all eHealth systems were put into practice successfully, mainly for reasons not related to training. Conclusions: It is anticipated that this paper will promote the importance of these applications and their training activities as well as help in the spin off of others thus enabling the offering of a better service to the citizen.
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Kuroda, Chikazumi, Hiroyasu Yoshioka, Tuyoshi Kadota, Yoshifumi Narumi, Hideaki Okamoto, Toshioki Kumatani, Osamu Hiruma, Yoji Kumatani, and Jiro Yoshida. "Small PACS for digital medical images — reliability and security in a clinical setting." Computer Methods and Programs in Biomedicine 43, no. 1-2 (May 1994): 101–6. http://dx.doi.org/10.1016/0169-2607(94)90194-5.
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Griebel, Lena, Peter Kolominsky-Rabas, Sandra Schaller, Jakub Siudyka, Radoslaw Sierpinski, Dimitrios Papapavlou, Aliki Simeonidou, Hans-Ulrich Prokosch, and Martin Sedlmayr. "Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor." Informatics for Health and Social Care 42, no. 3 (October 20, 2016): 232–49. http://dx.doi.org/10.1080/17538157.2016.1237953.
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Spooner, Kiara K., Jason L. Salemi, Hamisu M. Salihu, and Roger J. Zoorob. "eHealth patient-provider communication in the United States: interest, inequalities, and predictors." Journal of the American Medical Informatics Association 24, e1 (August 7, 2016): e18-e27. http://dx.doi.org/10.1093/jamia/ocw087.
Повний текст джерелаАнотація:
Objective: Health-related Internet use and eHealth technologies, including online patient-provider communication (PPC), are continually being integrated into health care environments. This study aimed to describe sociodemographic and health- and Internet-related correlates that influence adult patients’ interest in and electronic exchange of medical information with health care providers in the United States. Methods: Nationally representative cross-sectional data from the 2014 Health Information National Trends Survey (N = 3677) were analyzed. Descriptive statistics and multivariable regression analyses were performed to examine associations between patient-level characteristics and online PPC behavior and interests. Results: Most respondents were Internet users (82.8%), and 61.5% of information seekers designated the Internet as their first source for health information. Younger respondents (<50 years), Hispanics, those from higher-income households, and those perceiving access to personal health information as important were more likely to be interested in online PPC. Despite varying levels of patient interest, 68.5% had no online PPC in the last year. However, Internet users (odds ratio, OR = 2.87, 95% CI, 1.35-6.08), college graduates (OR = 2.92, 95% CI, 1.42-5.99), and those with frequent provider visits (OR = 1.94, 95% CI, 1.02-3.71) had a higher likelihood of online PPC via email or fax, while Hispanics and those from higher-income households were 2–3 times more likely to communicate via text messaging or phone/mobile apps. Conclusion: Patients’ interest in and display of online PPC-related behaviors vary by age, race/ethnicity, education, income, Internet access/behaviors, and information type. These findings can inform efforts aimed at improving the use and adoption of eHealth technologies, which may contribute to a reduction in communication inequalities and health care disparities.
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Elkefi, Safa, Zhongyuan Yu, and Onur Asan. "Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey." Journal of Medical Internet Research 23, no. 2 (February 22, 2021): e24767. http://dx.doi.org/10.2196/24767.
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Background Online medical records are being used to organize processes in clinical and outpatient settings and to forge doctor-patient communication techniques that build mutual understanding and trust. Objective We aimed to understand the reasons why patients tend to avoid using online medical records and to compare the perceptions that patients have of online medical records based on demographics and cancer diagnosis. Methods We used data from the Health Information National Trends Survey Cycle 3, a nationally representative survey, and assessed outcomes using descriptive statistics and chi-square tests. The patients (N=4328) included in the analysis had experienced an outpatient visit within the previous 12 months and had answered the online behavior question regarding their use of online medical records. Results Patients who were nonusers of online medical records consisted of 58.36% of the sample (2526/4328). The highest nonuser rates were for patients who were Hispanic (460/683, 67.35%), patients who were non-Hispanic Black (434/653, 66.46%), and patients who were older than 65 years (968/1520, 63.6%). Patients older than 65 years were less likely to use online medical records (odds ratio [OR] 1.51, 95% CI 1.24-1.84, P<.001). Patients who were White were more likely to use online medical records than patients who were Black (OR 1.71, 95% CI 1.43-2.05, P<.001) or Hispanic (OR 1.65, 95% CI 1.37-1.98, P<.001). Patients who were diagnosed with cancer were more likely to use online medical records compared to patients with no cancer (OR 1.31, 95% CI 1.11-1.55, 95% CI 1.11-1.55, P=.001). Among nonusers, older patients (≥65 years old) preferred speaking directly to their health care providers (OR 1.76, 95% CI 1.35-2.31, P<.001), were more concerned about privacy issues caused by online medical records (OR 1.79, 95% CI 1.22-2.66, P<.001), and felt uncomfortable using the online medical record systems (OR 10.55, 95% CI 6.06-19.89, P<.001) compared to those aged 18-34 years. Patients who were Black or Hispanic were more concerned about privacy issues (OR 1.42, 1.09-1.84, P=.007). Conclusions Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.