191 research outputs found

    ECG Wave-Maven: An Internet-based Electrocardiography Self-Assessment Program for Students and Clinicians

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    Purpose: To create a multimedia internet-based ECG teaching tool, with the ability to rapidly incorporate new clinical cases. Method: We created ECG Wave-Maven (http://ecg.bidmc.harvard.edu), a novel teaching tool with a direct link to an institution-wide clinical repository. We analyzed usage data from the web between December, 2000 and May 2002. Results: In 17 months, there have been 4105 distinct uses of the program. A majority of users are physicians or medical students (2605, 63%), and almost half report use as an educational tool. Conclusions: The internet offers an opportunity to provide easily-expandable, open access resources for ECG pedagogy which may be used to complement traditional methods of instructio

    Desenvolvimento de um sistema de alerta para prevenção de quedas em pacientes hospitalizados

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    The present study describes the analysis of an online patient assessment system developed to prevent inpatients falls. A chart review was performed in order to identify risk factors present in the Nursing Assessment tool. The identified variables were Functional status including walking, transferring and toilet, sex and patients self-care ability. Authors developed a system using these variables, that is available since February 1997. In a second phase of this study, authors aim to evaluate the effectiveness of this computerized intervention.Este estudio describe el análisis de un sistema de computación en enfermería para desarrollar un sistema de alerta para prevenir caídas de los hospitalizados. Una revisión de las historias clínicas fue realizada para identificar los factores de riesgo presentes en el referido instrumento de evaluación. Las variables identificadas fueron: estado funcional del paciente incluyendo andar, desplazamiento, limpieza, sexo y habilidad para realizar el autocuidado. Usando estas variables un sistema de alerta fue desarrollado e incorporado en el sistema desde febrero de 1997. En una segunda fase de este estudio nos preponemos evaluar la eficacia de esta intervención automatizada en la calidad del cuidado de enfermería..Este estudo descreve a análise de um Sistema computadorizado de avaliação do paciente no desenvolvimento de um sistema de alerta para prevenir quedas de pacientes hospitalizados. Foi realizada a revisão de prontuários para identificar os fatores de risco presentes no referido instrumento de avaliação. As variáveis identificadas foram: estado funcional do paciente incluindo andar, transferir-se e toilete, sexo e habilidade de realizar auto-cuidado. Usando tais variáveis, foi desenvolvido um sistema de alerta que encontra-se disponibilizado desde Fevereiro de 1997. Em uma segunda etapa, pretende-se estudar o impacto deste sistema na qualidade do atendimento de enfermagem

    Desenvolvimento de um sistema de alerta para prevenção de quedas em pacientes hospitalizados

    Get PDF
    The present study describes the analysis of an online patient assessment system developed to prevent inpatients falls. A chart review was performed in order to identify risk factors present in the Nursing Assessment tool. The identified variables were Functional status including walking, transferring and toilet, sex and patients self-care ability. Authors developed a system using these variables, that is available since February 1997. In a second phase of this study, authors aim to evaluate the effectiveness of this computerized intervention.Este estudio describe el análisis de un sistema de computación en enfermería para desarrollar un sistema de alerta para prevenir caídas de los hospitalizados. Una revisión de las historias clínicas fue realizada para identificar los factores de riesgo presentes en el referido instrumento de evaluación. Las variables identificadas fueron: estado funcional del paciente incluyendo andar, desplazamiento, limpieza, sexo y habilidad para realizar el autocuidado. Usando estas variables un sistema de alerta fue desarrollado e incorporado en el sistema desde febrero de 1997. En una segunda fase de este estudio nos preponemos evaluar la eficacia de esta intervención automatizada en la calidad del cuidado de enfermería..Este estudo descreve a análise de um Sistema computadorizado de avaliação do paciente no desenvolvimento de um sistema de alerta para prevenir quedas de pacientes hospitalizados. Foi realizada a revisão de prontuários para identificar os fatores de risco presentes no referido instrumento de avaliação. As variáveis identificadas foram: estado funcional do paciente incluindo andar, transferir-se e toilete, sexo e habilidade de realizar auto-cuidado. Usando tais variáveis, foi desenvolvido um sistema de alerta que encontra-se disponibilizado desde Fevereiro de 1997. Em uma segunda etapa, pretende-se estudar o impacto deste sistema na qualidade do atendimento de enfermagem

    Cognitive Phenotypes and the Evolution of Animal Decisions

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    Despite the clear fitness consequences of animal decisions, the science of animal decision making in evolutionary biology is underdeveloped compared with decision science in human psychology. Specifically, the field lacks a conceptual framework that defines and describes the relevant components of a decision, leading to imprecise language and concepts. The ‘judgment and decision-making’ (JDM) framework in human psychology is a powerful tool for framing and understanding human decisions, and we apply it here to components of animal decisions, which we refer to as ‘cognitive phenotypes’. We distinguish multiple cognitive phenotypes in the context of a JDM framework and highlight empirical approaches to characterize them as evolvable traits

    Cognitive Phenotypes and the Evolution of Animal Decisions

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    Despite the clear fitness consequences of animal decisions, the science of animal decision making in evolutionary biology is underdeveloped compared with decision science in human psychology. Specifically, the field lacks a conceptual framework that defines and describes the relevant components of a decision, leading to imprecise language and concepts. The ‘judgment and decision-making’ (JDM) framework in human psychology is a powerful tool for framing and understanding human decisions, and we apply it here to components of animal decisions, which we refer to as ‘cognitive phenotypes’. We distinguish multiple cognitive phenotypes in the context of a JDM framework and highlight empirical approaches to characterize them as evolvable traits
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