McDaniel Robert B, Burlison Jonathan D, Baker Donald K, Hasan Murad, Robertson Jennifer, Hartford Christine, Howard Scott C, Sablauer Andras, Hoffman James M
Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, Tennessee, USA.
Department of Information Sciences, St Jude Children's Research Hospital, Memphis, Tennessee, USA.
J Am Med Inform Assoc. 2016 Apr;23(e1):e138-41. doi: 10.1093/jamia/ocv144. Epub 2015 Oct 24.
Metrics for evaluating interruptive prescribing alerts have many limitations. Additional methods are needed to identify opportunities to improve alerting systems and prevent alert fatigue. In this study, the authors determined whether alert dwell time-the time elapsed from when an interruptive alert is generated to when it is dismissed-could be calculated by using historical alert data from log files. Drug-drug interaction (DDI) alerts from 3 years of electronic health record data were queried. Alert dwell time was calculated for 25,965 alerts, including 777 unique DDIs. The median alert dwell time was 8 s (range, 1-4913 s). Resident physicians had longer median alert dwell times than other prescribers (P < 001). The 10 most frequent DDI alerts (n = 8759 alerts) had shorter median dwell times than alerts that only occurred once (P < 001). This metric can be used in future research to evaluate the effectiveness and efficiency of interruptive prescribing alerts.
评估干扰性处方警报的指标存在诸多局限性。需要其他方法来识别改进警报系统和预防警报疲劳的机会。在本研究中,作者确定是否可以通过使用日志文件中的历史警报数据来计算警报停留时间,即从产生干扰性警报到解除警报所经过的时间。查询了来自3年电子健康记录数据中的药物相互作用(DDI)警报。计算了25965条警报的警报停留时间,包括777种独特的药物相互作用。警报停留时间的中位数为8秒(范围为1 - 4913秒)。住院医师的警报停留时间中位数比其他开处方者更长(P < 0.001)。最常见的10种药物相互作用警报(n = 8759条警报)的停留时间中位数比仅出现一次的警报更短(P < 0.001)。该指标可用于未来研究,以评估干扰性处方警报的有效性和效率。