Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized ordering enables automated order reminder systems, but their value is not fully understood. We performed a single-center, retrospective cohort study to estimate the association between automated PACU order reminders and primary outcomes (1) on-time order placement and (2) the degree of delay in placement. As a secondary post-hoc analysis, we studied the association between late order placement and PACU outcomes. We included patients with a qualifying postprocedure order from January 1, 2019, to May 31, 2023. We excluded cases transferred directly to the ICU, whose anesthesia provider was involved in the pilot testing of the reminder system, or those with missing covariate data. Order reminder system usage was defined by the primary attending anesthesiologist’s receipt of a push notification reminder on the day of surgery. We estimated the association between reminder system usage and timely order placement using a logistic regression. For patients with late orders, we performed a survival analysis of order placement. The significance level was 0.05. Patient (e.g., age, race), procedural (e.g., anesthesia duration), and provider-based (e.g., ordering privileges) variables were used as covariates within the analyses. Reminders were associated with 51% increased odds of order placement prior to PACU admission (Odds Ratio: 1.51; 95% Confidence Interval: 1.43, 1.58; p ≤ 0.001), reducing the incidence of late PACU orders from 17.5% to 12.6% (p ≤ 0.001). In patients with late orders, the reminders were associated with 10% quicker placement (Hazard Ratio: 1.10; 95% CI 1.05, 1.15; p < 0.001). On-time order placement was associated with decreased PACU duration (p < 0.001), decreased odds of peak PACU pain score (p < 0.001), and decreased odds of multiple administration of antiemetics (p = 0.02). An order reminder system was associated with an increase in order placement prior to PACU arrival and a reduction in delay in order placement after arrival.

过渡到麻醉后监护室 (PACU) 需要麻醉提供者及时下订单。计算机化订购使自动订单提醒系统成为可能，但其价值尚未得到充分理解。我们进行了一项单中心回顾性队列研究，以评估自动 PACU 订单提醒与主要结果（1）按时下订单和（2）下订单延迟程度之间的关联。作为二次事后分析，我们研究了延迟下订单与 PACU 结果之间的关联。我们纳入了 2019 年 1 月 1 日至 2023 年 5 月 31 日期间持有合格术后订单的患者。我们排除了直接转入 ICU 的病例，其麻醉提供者参与了提醒系统的试点测试，或协变量数据缺失的病例。订单提醒系统的使用是由主治麻醉师在手术当天收到推送通知提醒来定义的。我们使用逻辑回归估计了提醒系统的使用和及时下订单之间的关联。对于延迟订单的患者，我们进行了订单下达的生存分析。显着性水平为0.05。患者（例如，年龄、种族）、程序（例如，麻醉持续时间）和基于提供者的（例如，订购特权）变量被用作分析中的协变量。提醒与 PACU 入院前下订单的几率增加 51% 相关（优势比：1.51；95% 置信区间：1.43, 1.58；p ≤ 0.001），将 PACU 延迟订单的发生率从 17.5% 降低至 12.6%（p ≤0.001）。对于延迟订单的患者，提醒与放置速度加快 10% 相关（风险比：1.10；95% CI 1.05, 1.15；p < 0.001）。 按时下订单与 PACU 持续时间缩短 (p < 0.001)、PACU 疼痛评分峰值的几率降低 (p < 0.001) 以及多次服用止吐药的几率降低 (p = 0.02) 相关。订单提醒系统与 PACU 到达之前订单放置的增加和到达后订单放置延迟的减少相关。