7 research outputs found

    Toward a Discourse Community for Telemedicine: A Domain Analytic View of Published Scholarship

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    In the past 20 years, the use of telemedicine has increased, with telemedicine programs increasingly being conducted through the Internet and ISDN technologies. The purpose of this dissertation is to examine the discourse community of telemedicine. This study examined the published literature on telemedicine as it pertains to quality of care, defined as correct diagnosis and treatment (Bynum and Irwin 2011). Content analysis and bibliometrics were conducted on the scholarly discourse, and the most prominent authors and journals were documented to paint and depict the epistemological map of the discourse community of telemedicine. A taxonomy based on grounded research of scholarly literature was developed and validated against other existing taxonomies. Telemedicine has been found to increase the quality and access of health care and decrease health care costs (Heinzelmann, Williams, Lugn and Kvedar 2005 and Wootton and Craig 1999). Patients in rural areas where there is no specialist or patients who find it difficult to get to a doctor’s office benefit from telemedicine. Little research thus far has examined scholarly journals in order to aggregate and analyze the prevalent issues in the discourse community of telemedicine. The purpose of this dissertation is to empiricallydocument the prominent topics and issues in telemedicine by examining the related published scholarly discourse of telemedicine during a snapshot in time. This study contributes to the field of telemedicine by offering a comprehensive taxonomy of the leading authors and journals in telemedicine, and informs clinicians, librarians and other stakeholders, including those who may want to implement telemedicine in their institution, about issues telemedicine

    Benchmarking foreign electronics technologies

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    Economic issues associated with the operation and evaluation of telemedicine

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    Telemedicine offers an alternative referral strategy for fetal cardiology but is currently only used for ‘high-risk’ pregnancies. A case-study of a cost-consequences analysis comparing telemedicine to direct referral to a perinatal cardiologist is initially presented, which highlights that for high risk women for whom telemedicine was considered no cardiac anomalies were missed using either referral method. In the light of a review of the literature on the economics of telemedicine, three of the key methodological issues (of selection bias, of patient costs and using quality-adjusted life years (QALYs)) are explored to demonstrate how the case study analysis could be improved. Pregnant women were selected for referral based on their characteristics and risk factors; thus the cost and effects for the two groups may have been biased. Various methods identified in the literature are applied to the case study to reduce selection bias, but the analysis presented is unable to determine which method is best, given a number of limitations including the small sample size. The analysis is extended to include estimated total patient costs. However, when patient costs are added to the total costs of pregnancy, they did not substantially increase the overall cost. The results presented provide a guideline for future researchers and pregnant women of the likely costs during pregnancy. Given that the majority of missed cardiac anomalies were amongst low risk women, a decision analytical model is developed looking at the lifetime costs and QALYs of introducing telemedicine screening for pregnant women whose unborn babies are at a low risk of congenital heart disease. The analysis shows that offering telemedicine to all low risk women is the dominant strategy. The thesis demonstrates, within the constraints of existing data, that it would be cost-effective to provide telemedicine as part of an antenatal screening programme for all low risk women, and this would help prevent future ‘missed anomalies’.EThOS - Electronic Theses Online ServiceResearch and Development Division of the Department of HealthGBUnited Kingdo

    Cognitive Foundations for Visual Analytics

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