Scott Savanna, Murtaza Umbreen, Choi Sara, Watt Ian, Chamless Juliana, Duncan Rosemary, Rowcliffe Meghan, Smith Jacob, Pherson Emily
Johns Hopkins Hospital, Baltimore, MD, USA.
Johns Hopkins Health System, Baltimore, MD, USA.
Am J Health Syst Pharm. 2025 Feb 20;82(5):e307-e314. doi: 10.1093/ajhp/zxae296.
This project utilized the guidance of the American Society of Health-System Pharmacists (ASHP) autoverification toolkit to refine our health system's approach to autoverification and contribute to the literature regarding appropriate use of autoverification technology in a pediatric and adult emergency department (ED).
This single-center quality improvement study was conducted in an academic medical center ED that has 33 pediatric beds and 77 adult beds. A team consisting of clinical pharmacy specialists in emergency medicine, medication safety and informatics personnel, operational managers, and pharmacy leadership was identified to develop and implement autoverification best practices in the ED utilizing practices outlined within the ASHP autoverification toolkit. Before implementation of best practices, defined as the "preoptimization" state, autoverification took place for most medications available in the automated dispensing cabinets (ADCs). By anchoring the autoverification rule on ADC inventory, it was challenging to optimize both inventory practices and autoverification best practices. This project focused on redesigning the autoverification rules in the electronic health record, defined as the "postoptimization" state. In the postoptimization state, autoverification in the ED was updated to better align with regulatory standards. Autoverification metrics and the percentage of orders that autoverified vs required pharmacist verification were analyzed in the preoptimization and postoptimization states.
This project utilized the guidance from ASHP's autoverification toolkit to refine our health system's approach to autoverification. High-alert medications (eg, insulin, extended-release opioids, digoxin) were taken off autoverification following implementation. Optimization of autoverification rules allows more orders for high-alert medications to be reviewed by a pharmacist.
本项目利用美国卫生系统药师协会(ASHP)自动核查工具包的指导,完善我们卫生系统的自动核查方法,并为有关在儿科和成人急诊科(ED)合理使用自动核查技术的文献做出贡献。
本单中心质量改进研究在一家拥有33张儿科床位和77张成人床位的学术医疗中心急诊科进行。一个由急诊医学临床药学专家、药物安全与信息学人员、运营经理和药学领导层组成的团队被确定,以利用ASHP自动核查工具包中概述的实践,在急诊科制定和实施自动核查最佳实践。在实施最佳实践之前,即定义为“预优化”状态时,自动核查适用于自动配药柜(ADC)中可用的大多数药物。通过将自动核查规则锚定在ADC库存上,优化库存实践和自动核查最佳实践都具有挑战性。本项目专注于重新设计电子健康记录中的自动核查规则,即定义为“后优化”状态。在后优化状态下,急诊科的自动核查进行了更新,以更好地符合监管标准。在预优化和后优化状态下,分析了自动核查指标以及自动核查与需要药师核查的医嘱百分比。
本项目利用ASHP自动核查工具包的指导,完善了我们卫生系统的自动核查方法。实施后,高警示药物(如胰岛素、缓释阿片类药物、地高辛)不再进行自动核查。自动核查规则的优化使更多高警示药物的医嘱能够由药师进行审查。