Intermountain Health, Salt Lake City, UT.
AMIA Annu Symp Proc. 2024 Jan 11;2023:417-425. eCollection 2023.
The need for effective and efficient clinical decision support (CDS) embedded in electronic health record (EHR) processes is growing. Using choice architecture design strategies may increase effectiveness of CDS solutions. The authors describe implementation of an opioid risk alert and subsequent revisions of that alert to increase effectiveness and reduce alert volumes. The first version of the alert used an opt-in choice architecture when recommending naloxone and the second version used an active choice design. The percentage of opioid prescriptions ordered with naloxone prescribed within the last 12 months increased significantly after implementation of the first version of the alert and then further increased significantly after implementation of the second version. Alert volumes decreased over the same timeframe. An education campaign was also implemented during the timeframe studied and likely also contributed to the naloxone outcomes seen.
临床决策支持(CDS)需要有效地嵌入电子健康记录(EHR)流程,这一点变得愈发重要。使用选择架构设计策略可以提高 CDS 解决方案的效果。作者描述了实施阿片类药物风险警报的情况,以及随后对该警报进行的修订,以提高其效果并减少警报数量。该警报的第一个版本在推荐纳洛酮时使用了选择加入的选择架构,第二个版本则使用了主动选择设计。在实施第一个版本的警报后,在过去 12 个月内开具带有纳洛酮处方的阿片类药物处方的百分比显著增加,随后在实施第二个版本后又显著增加。在同一时间段内,警报数量有所减少。在研究期间还实施了一项教育活动,这也可能促成了所观察到的纳洛酮结果。