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Developing a Model for Using Clinical Routine Data to Analyze Nursing Sensitive Patient Outcome Indicators

机译:开发用于使用临床常规数据的模型,以分析护理敏感患者结果指标

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Under the term “big data”, the secondary use of available IT-based clinical routine data promises to easily support quality management and research. Available clinical data can, for example, be used to measure care quality, as this is an important aspect in the evaluation of health interventions. Different indicators are available for measuring care quality, e.g. nursing sensitive outcome indicators. However, a specific methodology for using clinical routine data to measure quality of nursing care is not available at the moment. We present first ideas for a model to use clinical routine data to derive nursing outcome indicators measuring quality of care. In particular, we are interested in the question of which care indicators can be extracted to predict care outcome.
机译:根据“大数据”一词,次要使用可用的IT基临床日常数据承诺轻松支持质量管理和研究。 例如,可用的临床数据可以用于测量护理品质,因为这是评估健康干预措施的一个重要方面。 有关衡量护理品质的不同指标可供选择,例如不同的指标。 护理敏感结果指标。 然而,目前无法使用用于使用临床常规数据来测量护理质量的特定方法。 我们为模型提供了第一个想法,以利用临床日常数据来派生衡量护理质量的护理结果指标。 特别是,我们对哪些护理指标的问题感兴趣以预测护理结果。

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