Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Department of Enterprise Analytics and Reporting, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
J Am Med Inform Assoc. 2015 Mar;22(2):361-9. doi: 10.1136/amiajnl-2013-002538. Epub 2014 Oct 15.
To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project.
We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug-drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers' and pharmacists' alert and override rates using an interrupted time series framework with piecewise regression.
We evaluated 2 391 880 medication alerts between January 31, 2011 and January 26, 2014. For pharmacists, the median alert rate prior to the first DDI deactivation was 58.74 alerts/100 orders (IQR 54.98-60.48) and 25.11 alerts/100 orders (IQR 23.45-26.57) following the three interventions (p<0.001). For providers, baseline median alert rate prior to the first round of DDI deactivation was 19.73 alerts/100 orders (IQR 18.66-20.24) and 15.11 alerts/100 orders (IQR 14.44-15.49) following the three interventions (p<0.001). In a subgroup analysis, we observed a decrease in pharmacists' override rates for DDI alerts that were not modified in the system from a median of 93.06 overrides/100 alerts (IQR 91.96-94.33) to 85.68 overrides/100 alerts (IQR 84.29-87.15, p<0.001). The medication serious safety event rate decreased during the study period, and there were no serious safety events reported in association with the deactivated alert rules.
An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists' frequency of selecting the 'cancel' option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts.
为了减少警报疲劳,我们开发并评估了一种全院范围的电子健康记录药物警报电子仪表板。
我们使用可视化分析软件来开发仪表板。我们与全院临床决策支持委员会合作,连续进行了三项干预措施,成功地停用了不相关的药物-药物相互作用(DDI)警报规则。我们使用分段回归的中断时间序列框架分析了干预措施对护理人员和药剂师的警报和覆盖率的影响。
我们评估了 2391880 例药物警报,时间为 2011 年 1 月 31 日至 2014 年 1 月 26 日。对于药剂师,在第一次停用 DDI 之前,中位数警报率为 58.74 次警报/100 次医嘱(IQR 54.98-60.48),在三次干预后为 25.11 次警报/100 次医嘱(IQR 23.45-26.57)(p<0.001)。对于提供者,在第一次 DDI 停用之前,中位数警报率为 19.73 次警报/100 次医嘱(IQR 18.66-20.24),在三次干预后为 15.11 次警报/100 次医嘱(IQR 14.44-15.49)(p<0.001)。在亚组分析中,我们观察到系统中未修改的 DDI 警报的药剂师覆盖率降低,从中位数 93.06 次覆盖/100 次警报(IQR 91.96-94.33)降至 85.68 次覆盖/100 次警报(IQR 84.29-87.15,p<0.001)。研究期间药物严重安全事件发生率下降,未报告与停用警报规则相关的严重安全事件。
警报仪表板有助于安全快速地减少警报负担,这与亚组中未直接受干预影响的 DDIs 药剂师的覆盖率降低有关;同时,药剂师选择“取消”选项的频率增加。我们假设减少警报负担使药剂师能够更加关注临床相关警报。