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Contextualization of Automatic Alerts During Electronic Prescription:Researchers' and Users' Opinions on Useful Context Factors

机译:电子处方期间自动警报的上下文化:研究人员和用户对有用的上下文因素的看法

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Computerized Physician Order Entry (CPOE) Systems can reduce the number of medication errors and Adverse Drug Events (ADEs). However, studies have shown that users often override alerts, as they feel these are too unspecific for the given patient context. It is unclear, however, how alerts could be contextualized, that is adapted to the clinical context. Based on a literature search, we developed a list of 20 possible context factors. We asked 69 international CPOE researchers and 120 physicians from four hospitals in two countries to judge the usefulness of each factor. Researchers judged the following factors as most important: 1.) Severity of the effect, 2.) Clinical status of the patient, 3.) Probability of occurrence, 4.) Risk factors of the patient, 5.) Strength of evidence. Physicians judged the following factors as most important: Severity of the effect, clinical status of the patients, complexity of the case, and class of drug. These top-ranked context factors could be used to re-design the way alerts are presented in CPOE systems, to increase sensitivity of alerts, to reduce overriding rates, and to improve medication safety.
机译:计算机化的医师订单条目(CPOE)系统可以减少药物误差和不良药物事件(ades)的数量。然而,研究表明,用户经常覆盖警报,因为它们对给定的患者背景感觉到这些都是太挑剔的。然而,目前尚不清楚,如何使警报变化,适应临床环境。根据文献搜索,我们开发了20个可能的上下文因素的列表。我们向两个国家的四个医院询问了69名国际CPOE研究人员和120名医生,以判断每个因素的有用性。研究人员判断以下因素是最重要的:1。)效果的严重程度,2.)患者的临床状态,3.)发生的概率,4.)患者的风险因素,5.)证据的危险因素。医生判断以下因素是最重要的:效果的严重程度,患者的临床状态,案例的复杂性和药物类别。这些排名排名的上下文因素可用于重新设计警报在CPOE系统中提出的方式,以提高警报的敏感性,以减少附称速率,并提高药物安全性。

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