38 research outputs found

    Squalamine: An Appropriate Strategy against the Emergence of Multidrug Resistant Gram-Negative Bacteria?

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    We reported that squalamine is a membrane-active molecule that targets the membrane integrity as demonstrated by the ATP release and dye entry. In this context, its activity may depend on the membrane lipid composition. This molecule shows a preserved activity against bacterial pathogens presenting a noticeable multi-resistance phenotype against antibiotics such as polymyxin B. In this context and because of its structure, action and its relative insensitivity to efflux resistance mechanisms, we have demonstrated that squalamine appears as an alternate way to combat MDR pathogens and by pass the gap regarding the failure of new active antibacterial molecules

    The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview

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    Aziz Sheikh and colleagues report the findings of their systematic overview that assessed the impact of eHealth solutions on the quality and safety of health care

    Biomedical informatics and translational medicine

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    Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams

    An analysis of electronic document management in oncology care

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    In this research in progress, a reference model for the use of electronic patient record (EPR) systems in oncology is described. The model, termed CICERO, comprises technical and functional components, and emphasises usability, clinical safety and user acceptance. One of the functional components of the model—an electronic document and records management (EDRM) system—is monitored in the course of its deployment at a leading oncology centre in the UK. Specifically, the user requirements and design of the EDRM solution are described.The study is interpretative and forms part a wider research programme to define and validate the CICERO model. Preliminary conclusions confirm the importance of a socio-technical perspective in Onco-EPR system design

    Impact of an electronic nursing documentation system on the nursing process accuracy

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    While the nursing process provides a framework for documenting nursing practice and delivering patient-focused care, nurses often have difficulty applying the nursing process in clinical practice. Fortunately, electronic nursing documentation using clinical decision support systems (END-CDSS) can improve the accuracy of recorded nursing process. To date, however, no study has evaluated nursing documentation accuracy over time following END-CDSS implementation. Accordingly, the aim of this study was to evaluate if the Professional Assessment Instrument (PAI) END-CDSS improved the accuracy of nursing documentation in an Italian hospital cardiology inpatient unit. A quasi-experimental longitudinal design was conducted. A random sample of 120 nursing documentations was collected and evaluated using the D-Catch instrument. A significant improvement (p <.001) in nursing documentation accuracy scores was shown after PAI implementation. These results suggest that an END-CDSS can support nurses in the nursing process by improving their clinical reasoning skills
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