398 research outputs found

    Business models for sustained ehealth implementation: lessons from two continents

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    There is general consensus that Computers and Information Technology have the potential to enhance health systems applications, and many good examples of such applications exist all over the world. Unfortunately, with respect to eHealth and telemedicine, there is much disillusionment and scepticism. This paper describes two models that were developed separately, but had the same purpose, namely to facilitate a holistic approach to the development and implementation of eHealth solutions. The roadmap of the Centre for eHealth Research (CeHRes roadmap) was developed in the Netherlands, and the Telemedicine Maturity Model (TMMM) was developed in South Africa. The purpose of this paper is to analyse the commonalities and differences of these approaches, and to explore how they can be used to complement each other. The first part of this paper comprises of a comparison of these models in terms of origin, research domain and design principles. Case comparisons are then presented to illustrate how these models complement one another

    Untangling the complexity of connected health evaluations

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    Societal changes are forcing us to reconsider how healthcare is delivered and ICT can support this reimagining of healthcare delivery. One of the emerging trends in this area is Connected Health. However, the evaluation of Connected Health technologies is crucial to assess whether their implementation has had a positive impact on healthcare delivery. To support this assessment process, we developed, an exploratory framework for the evaluation of Connected Health technologies in healthcare settings. This framework was developed after having critically appraised the existing findings of health information system evaluation studies. It also builds on previous models of Information Systems evaluation, in particular, the Information Systems Success Model. Our framework incorporates the concept of assessment from multiple perspectives. Furthermore, the framework identifies the primary stakeholders and extends the assessment based on their concerns. Finally, we elaborate on the framework, detailing its application to a Connected Health solution for primary care based dementia patients in Ireland

    A review of selected multi-criteria decision analysis techniques and applications

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    This paper presents a review of various multi-criteria decision analysis techniques. The focus of this research is to identify suitable techniques to be used to assign weights between different factors that influence user acceptance of software technology in the healthcare industry. Three widely known methodologies used for identifying, classifying and evaluating various alternatives are briefly described, namely the Analytic Hierarchy Process, Fuzzy Cognitive Maps and Fuzzy AHP, in order to identify the applicability and suitability of each in addressing our research problem

    Investigating the Use of M-Health for Learning and Clinical Training by Medical Students in Ghana

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    There is a challenge with healthcare access in most developing countries. With the high rate of mobile technology penetration in these countries, there is a strong belief that mobile technology can help address this and other health system and education challenges. This study investigated how clinical year medical students in Ghana used m-health and with what outcomes. This was a mixed-methods study to assess what technologies students used, what the impact of use was, what enablers and barriers they encountered, what factors explained m-health adoption and what the attitudes of students, staff and faculty members were towards m-health use. The study was conducted in four out of five medical schools in Ghana with clinical year students, namely, Kwame Nkrumah University of Science and Technology School of Medical Sciences (KNUST-SMS), University of Cape Coast School of Medical Sciences (UCC-SMS), University of Development Studies School of Medicine and Health Sciences (UDS-SMHS) and University of Ghana School of Medicine and Dentistry (UG-SMD). Online and paper questionnaires were distributed to 828 students and 291 questionnaires were returned. Questionnaires from dental students at UG-SMD (n = 5) were excluded from the analysis.Two focus group discussions were held involving seven students while three students, seven faculty members and five staff were interviewed. Qualitative data were analyzed using thematic analysis. Only one student did not own a mobile device. About 78% of students reported using m-health at some point during their medical education. The most popular devices used by students were laptop computers (90.8%), smartphones (66.2%), cellular phones (46.6%) and tablets (44.1%). Over 84% of the students owned Android devices, while 21% owned iPhones and iPads. Majority of students owned three devices or less. Students used mobile technologies in ways that suited their learning needs and contexts. M-health helped students to participate better in lessons and improve their knowledge, skills and efficiency in various contexts. The main drawbacks of m-health use were distraction and time wasting, difficulty in determining credibility of some online information and the risk of using these technologies inappropriately around patients and during assessments. The main facilitating conditions for m-health use were availability, quality and reliability of technological services, technical support, security, price value, technology competence and training, portability, task and goal fit, social influence and organizational factors. Habit and Hedonic Motivation were the only significant factors that explained intention to use m-health and actual m-health use respectively in the UTAUT2 model, in the presence of age, gender and experience. Students, staff and faculty members were open to using m-health in teaching and learning, although they recommended regulation of use through policies and guidelines to ensure effective teaching and learning and ethical m-health use. Considering the benefits offered by m-health, the study encourages medical schools in Ghana to explore mobile learning with the possibility of incorporating it into their curricula. This should be accompanied by development of policies and guidelines to spell out how mobile technologies should be used in order to mitigate most of the drawbacks identified. This study contributed empirical evidence from the Ghanaian context regarding m-health adoption and use in medical education. This evidence will contribute to theory regarding benefits, drawbacks, facilitating conditions and factors that influence m-health adoption among medical students in a developing country context. Understanding how medical students use mobile technology in learning will be useful in planning how m-health can be incorporated into their curricula. It will also help in informing development and deployment of m-health in healthcare in contexts similar to Ghana

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

    CITIZEN PARTICIPATION IN INCREASINGLY DIGITALIZED GOVERNMENTAL ENVIRONMENTS – A SYSTEMATIC LITERATURE REVIEW

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    Citizen participation in increasingly digitalized governmental environments can introduce fruitful capabilities to encourage citizens to engage in municipal affairs and through this take actively part in fostering smart cities’ effectiveness. However, the practical exploitation of recent knowledge is still not sufficiently operationalized, whilst research in this field yields various approaches focusing on diverse emphases. Therefore, the necessity of systematically collecting and afterwards analysing the existing literature towards this topic is obvious. This paper depicts a proceeding to systematically review the available literature towards the relevant research units on citizen participation. Overall, 48 topic-based papers were identified out of leading journals and conference papers about information systems. The main findings of the relevant papers were assessed to a proposed analytical framework consisting of increasing participation stages and two distinct focus groups namely government and citizens. Accordingly, the covered recent focus areas of research are identified to reveal where state-of-the-art research falls short. Consequently, the imperative of emphasising investigation regarding concepts for ICT-enabled services focusing the empowerment of citizens arises as being our contribution for guiding future research, whilst governments can practically benefit from the composed framework by using it for classifying, planning and implementing proposed participation activities

    ANALISIS FAKTOR YANG BERHUBUNGAN DENGAN PENGGUNAAN EARLY WARNING SYSTEM PADA PERUBAHAN KLINIS PASIEN DI RUMAH SAKIT X

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    Early Warning System (EWS) is an information system on patient care that needed to support decision making of patient’s clinical change. The impact of EWS usage on patient’s clinical change still varies therefore a question raised whether EWS usage will improve hospital service quality. The lack of information on factors related to EWS usage effectivity became the reason to conduct this study. The study aimed to understand the factors that relates to EWS usage. The study was a cross sectional approach. Population in the study was 297 EWS healthcare users in X Hospital. Sample taken in the study was 168 healthcare users with proportionate stratified random sampling method. EWS usage data were collected from medical records audit. Factors related to EWS usage data was taken from questionnaire. Relationship between factors and EWS usage were analyzed by using Chi square test and logistic regression test. Proper EWS usage on patient’s clinical change in X Hospital general ward was very low. System quality, user satisfaction and organization structure independently were significant related to EWS usage. Organization structure and user satisfaction have an impact as 12.374 times and 4.671 times to the use of EWS system.Keywords: EWS; General ward; Service qualiti
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