Waitman Lemuel R, Phillips Ira E, McCoy Allison B, Danciu Ioana, Halpenny Robert M, Nelsen Cori L, Johnson Daniel C, Starmer John M, Peterson Josh F
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jt Comm J Qual Patient Saf. 2011 Jul;37(7):326-32. doi: 10.1016/s1553-7250(11)37041-9.
High-alert medications are frequently responsible for adverse drug events and present significant hazards to inpatients, despite technical improvements in the way they are ordered, dispensed, and administered.
A real-time surveillance application was designed and implemented to enable pharmacy review of high-alert medication orders to complement existing computerized provider order entry and integrated clinical decision support systems in a tertiary care hospital. The surveillance tool integrated real-time data from multiple clinical systems and applied logical criteria to highlight potentially high-risk scenarios. Use of the surveillance system for adult inpatients was analyzed for warfarin, heparin and enoxaparin, and aminoglycoside antibiotics.
Among 28,929 hospitalizations during the study period, patients eligible to appear on a dashboard included 2224 exposed to warfarin, 8383 to heparin or enoxaparin, and 893 to aminoglycosides. Clinical pharmacists reviewed the warfarin and aminoglycoside dashboards during 100% of the days in the study period-and the heparinlenoxaparin dashboard during 71% of the days. Displayed alert conditions ranged from common events, such as 55% of patients receiving aminoglycosides were missing a baseline creatinine, to rare events, such as 0.1% of patients exposed to heparin were given a bolus greater than 10,000 units. On the basis of interpharmacist communication and electronic medical record notes recorded within the dashboards, interventions to prevent further patient harm were frequent.
Even in an environment with sophisticated computerized provider order entry and clinical decision support systems, real-time pharmacy surveillance of high-alert medications provides an important platform for intercepting medication errors and optimizing therapy.
尽管高警示药物在医嘱开具、调配和给药方式上有了技术改进,但它们仍常常导致药物不良事件,并对住院患者构成重大风险。
设计并实施了一个实时监测应用程序,以便药房对高警示药物医嘱进行审查,作为三级护理医院现有计算机化医嘱录入系统和综合临床决策支持系统的补充。该监测工具整合了来自多个临床系统的实时数据,并应用逻辑标准突出显示潜在的高风险情况。分析了该监测系统在成人住院患者中对华法林、肝素和依诺肝素以及氨基糖苷类抗生素的使用情况。
在研究期间的28929例住院病例中,符合在仪表板上显示条件的患者包括2224例使用华法林的患者、8383例使用肝素或依诺肝素的患者以及893例使用氨基糖苷类药物的患者。临床药师在研究期间100%的天数里审查了华法林和氨基糖苷类药物的仪表板,以及71%天数里的肝素/依诺肝素仪表板。显示的警示情况范围从常见事件(如55%使用氨基糖苷类药物的患者缺少基线肌酐值)到罕见事件(如0.1%使用肝素的患者接受了超过10000单位的推注剂量)。根据药剂师之间的沟通以及仪表板中记录的电子病历注释,为防止对患者造成进一步伤害而进行的干预很频繁。
即使在拥有先进的计算机化医嘱录入系统和临床决策支持系统的环境中,对高警示药物进行实时药房监测也为拦截用药错误和优化治疗提供了一个重要平台。