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Procedure for Reconstruction of a Predictive Score of Severe Deterioration in Inpatients

机译：重建住院患者严重劣化预测得分的程序

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Adequate recording of patients' physiological parameters provides vital information for health teams. Up to 80% of general admission patients have physiological parameters outside the normal range within 24 hours prior to transfer to the intensive care unit. Early warning systems analyze these data with the aim of detecting early deterioration in patients, which support medical decision making for reducing morbimortality. There are more than 100 systems for detecting patients at risk. Particularly NEWS has a greater ability to discriminate patients at risk of cardiac arrest, unplanned admission to ICU, and death. Sanatorio Finochietto has a commercial Health Information System. In order to exploit the available information, an algorithm capable of constituting a score value associated with NEWS has been developed from the combination of measurements made at different times. The reconstruction procedure allowed a greater number of full records. We had a 75% coincidence with real-time comparison.
机译：足够的患者的生理参数记录为健康团队提供了重要信息。高达80％的一般入学患者在转移到重症监护病房之前24小时内具有正常范围的生理参数。预警系统分析了这些数据，目的是检测患者早期恶化，这支持降低病情的医学决策。有100多种系统用于检测风险的患者。特别是新闻具有更大的能力，歧视患者心脏骤停的风险，无计划的ICU和死亡。 Sanatorio FinoChietto有商业健康信息系统。为了利用可用信息，已经从不同时间进行的测量的组合开发了一种能够构成与新闻相关联的分数值的算法。重建过程允许更多的全记录。我们的实时比较有75％的巧合。

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