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Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study

机译:在学术急诊部门的药物临床决策支持系统中提醒覆盖模式:回顾性描述性研究

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Background Physicians’ alert overriding behavior is considered to be the most important factor leading to failure of computerized provider order entry (CPOE) combined with a clinical decision support system (CDSS) in achieving its potential adverse drug events prevention effect. Previous studies on this subject have focused on specific diseases or alert types for well-defined targets and particular settings. The emergency department is an optimal environment to examine physicians’ alert overriding behaviors from a broad perspective because patients have a wider range of severity, and many receive interdisciplinary care in this environment. However, less than one-tenth of related studies have targeted this physician behavior in an emergency department setting. Objective The aim of this study was to describe alert override patterns with a commercial medication CDSS in an academic emergency department. Methods This study was conducted at a tertiary urban academic hospital in the emergency department with an annual census of 80,000 visits. We analyzed data on the patients who visited the emergency department for 18 months and the medical staff who treated them, including the prescription and CPOE alert log. We also performed descriptive analysis and logistic regression for assessing the risk factors for alert overrides. Results During the study period, 611 physicians cared for 71,546 patients with 101,186 visits. The emergency department physicians encountered 13.75 alerts during every 100 orders entered. Of the total 102,887 alerts, almost two-thirds (65,616, 63.77%) were overridden. Univariate and multivariate logistic regression analyses identified 21 statistically significant risk factors for emergency department physicians’ alert override behavior. Conclusions In this retrospective study, we described the alert override patterns with a medication CDSS in an academic emergency department. We found relatively low overrides and assessed their contributing factors, including physicians’ designation and specialty, patients’ severity and chief complaints, and alert and medication type.
机译:背景技术医生的警报覆盖行为被认为是导致计算机化提供商订单进入(CPOE)失败的最重要因素与临床决策支持系统(CDS)相结合,以实现其潜在的不良药物事件预防效果。以前关于该受试者的研究专注于特定的疾病或警报类型,用于明确定义的目标和特定设置。急诊部是一种最佳的环境,以从广泛的角度来看医生的警觉覆盖行为,因为患者具有更广泛的严重程度,并且许多人在这种环境中获得跨学科护理。然而,不到十分之一的相关研究在紧急部门环境中瞄准了这种医生行为。目的本研究的目的是描述在学术急诊部门的商业药物CDSS的警报覆盖模式。方法本研究在急诊部门的高等城市学术院进行,年度人口普查80,000人访问。我们分析了访问急诊部门的患者的数据18个月,并处理过的医务人员,包括处方和CPOE警报日志。我们还对评估警报覆盖的风险因素进行了描述性分析和逻辑回归。结果在研究期间,611名医生参加了71,546名患者的101,186名。紧急部门医生在输入的每100个订单中遇到了13.75个警报。总共102,​​887个警报,近三分之二(65,616,63.77%)被覆盖。单变量和多变量逻辑回归分析确定了应急部门医生警告覆盖行为的21个统计学意义的风险因素。结论在这项回顾性研究中,我们描述了在学术急诊部门的药物CDS中的警报覆盖模式。我们发现覆盖率相对较低,并评估其贡献因素,包括医生的指定和专业,患者的严重程度和主要投诉,以及警报和药物类型。

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