438 research outputs found

    Viral Studies In Pemphigus

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    Sera from patients with pemphigus. other bullous dermatoses, and various control groups were examined to determine whether paramyxoviruses, particularly SVS and DU, could be isolated. Indirect immunofluorescent tests and virus neutralization tests were employed to determine the incidence of SV5 virus antibody in sera from patients with various dermatoses, and to determine whether antibody to SV5 was related to the antiepithelial antibody associated with pemphigus. The frequency of antibody to SV5 (9%) and DU (11%) virus in sera from patients with pemphigus was not higher than the frequency ot antibodies to SV5 (14%) and DU (17%) in sera of various control groups. The absence of antibodies to 8V5 and DU virus in sera from most patients with pemphigus, the absence of intercellular antiepithelial antibody in sets from dogs and most humans with antibody to SV5 and DU virus, and the absence of correlation of titers in a patient with both types of antibody indicate that SV5 antibody is not functionally related to “pemphigus antibody.” In addition, no SV5, DU, or other hemadsorbing paramyxovirus was isolated from sera of patients with pemphigus. Isolation from blister fluid was not attempted. Infection with SV5, DU, or similar paramyxovirus is probably not usually, if at all, related to the etiology of non-Brazilian pemphigus

    How to Teach Health IT Evaluation: Recommendations for Health IT Evaluation Courses

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    Systematic health IT evaluation studies are needed to ensure system quality and safety and to provide the basis for evidence-based health informatics. Well-trained health informatics specialists are required to guarantee that health IT evaluation studies are conducted in accordance with robust standards. Also, policy makers and managers need to appreciate how good evidence is obtained by scientific process and used as an essential justification for policy decisions. In a consensus-based approach with over 80 experts in health IT evaluation, recommendations for the structure, scope and content of health IT evaluation courses on the master or postgraduate level have been developed, supported by a structured analysis of available courses and of available literature. The recommendations comprise 15 mandatory topics and 15 optional topics for a health IT evaluation course

    Introduction: looking beyond the walls

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    In its consideration of the remarkable extent and variety of non-university researchers, this book takes a broader view of ‘knowledge’ and ‘research’ than in the many hot debates about today’s knowledge society, ‘learning age’, or organisation of research. It goes beyond the commonly held image of ‘knowledge’ as something produced and owned by the full-time experts to take a look at those engaged in active knowledge building outside the university walls

    The impact of the economic crisis on media framing : evidence from three elections in Ireland

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    Media coverage of elections in Europe and North America has increasingly focused on the campaign as a game rather than a policy debate. This is often explained by the changes in media pressures. It may also reflect the narrowing of policy space between left and right and the comparative prosperity enjoyed in Europe and North America. But the relevance of politics varies. The global economic crisis might have led to an increased interest in policy among voters and focus on it by media. Ireland experienced both extremes of boom and crisis between the late 1990s and 2011. The Irish case allows us to test the impact of the crisis on media framing of elections. This article uses original data from the three most recent national elections in Ireland, with a research design that holds other pertinent variables constant. We find empirical support for the theoretical expectation that the context of the election affects the relative focus on campaign or horserace versus substantive policy issues

    Artificial Intelligence in Clinical Decision Support : Challenges for Evaluating AI and Practical Implications

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    OBJECTIVES This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surveillance. METHOD A narrative review of existing research and evaluation approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Informatics and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. RESULTS There is a rich history and tradition of evaluating AI in healthcare. While evaluators can learn from past efforts, and build on best practice evaluation frameworks and methodologies, questions remain about how to evaluate the safety and effectiveness of AI that dynamically harness vast amounts of genomic, biomarker, phenotype, electronic record, and care delivery data from across health systems. This paper first provides a historical perspective about the evaluation of AI in healthcare. It then examines key challenges of evaluating AI-enabled clinical decision support during design, development, selection, use, and ongoing surveillance. Practical aspects of evaluating AI in healthcare, including approaches to evaluation and indicators to monitor AI are also discussed. CONCLUSION Commitment to rigorous initial and ongoing evaluation will be critical to ensuring the safe and effective integration of AI in complex sociotechnical settings. Specific enhancements that are required for the new generation of AI-enabled clinical decision support will emerge through practical application
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