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PSIP: An Overview of the Results and Clinical Implications

机译:PSIP:结果和临床意义概述

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摘要

Adverse Drug Events (ADEs) are injuries due to medication management rather than the underlying condition of the patient. They endanger the patients and most of them could be avoided and prevented. The detection of ADEs usually relies on spontaneous reporting or medical chart reviews. The first objective of the PSIP Project is to automatically detect cases of ADEs by means of Data Mining, and to provide these cases to healthcare professionals. The second objective is to prevent ADEs by means of contextualised Clinical Decision Support Systems (Cx-CDSS) connected with Computerised Physician Order Entry (CPOE) or Electronic Health Record (EHR) systems. The detection of ADEs has been made possible through a set of rules able to identify relevant cases is a set of 92,000 medical cases. The results of this detection are provided through "ADE Scorecards". Contextualized Decision Support Systems have been developed by using the same set of rules and implemented in different software environments. The initial objectives of the PSIP project have been reached. The evaluation of the clinical impact has to be completed.
机译:药物不良反应(ADEs)是由于药物管理而不是患者的潜在状况造成的伤害。它们危及患者,大多数患者可以避免和预防。 ADE的检测通常依赖于自发报告或病历检查。 PSIP项目的第一个目标是通过数据挖掘自动检测ADE病例,并将这些病例提供给医疗保健专业人员。第二个目标是通过与计算机医师订单录入(CPOE)或电子病历(EHR)系统连接的上下文相关临床决策支持系统(Cx-CDSS)来预防ADE。 ADE的检测通过一组能够识别相关病例的规则而成为可能,这是一组92,000个医疗病例。检测结果通过“ ADE记分卡”提供。上下文化的决策支持系统是通过使用相同的规则集开发的,并在不同的软件环境中实现。 PSIP项目的最初目标已经实现。临床影响的评估必须完成。

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