阿片类药物安全警报中的选择架构。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01
James Hellewell, Kevin Lindsay, Kellyann Nielsen, Erick Christensen, Lynsie Daley, Kristy Jones, Kim Compagni
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引用次数: 0

摘要

嵌入电子健康记录(EHR)流程的高效临床决策支持(CDS)的需求与日俱增。使用选择架构设计策略可以提高 CDS 解决方案的有效性。作者介绍了阿片类药物风险警报的实施情况,以及为提高效率和减少警报数量而对该警报进行的后续修订。第一版警报在推荐纳洛酮时使用了选择架构,第二版则使用了主动选择设计。在实施第一版警报后,过去 12 个月内使用纳洛酮开具的阿片类处方的比例显著增加,而在实施第二版警报后,这一比例进一步显著增加。在同一时期,警报数量有所下降。在所研究的时间范围内还开展了教育活动,这可能也是纳洛酮取得成效的原因之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Choice Architecture in Opioid Safety Alerting.

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.

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