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首页> 外文期刊>BMJ quality & safety >Real-time automated paging and decision support for critical laboratory abnormalities
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Real-time automated paging and decision support for critical laboratory abnormalities

机译:实时自动分页和决策支持,可用于关键实验室异常

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Background: For patients with critical laboratory abnormalities, timely clinical alerts with decision support could improve management and reduce adverse events. Methods: The authors developed a real-time clinical alerting system for critical laboratory abnormalities. The system sent alerts to physicians as text messages to a smartphone or alphanumeric pager. Decision support was available via smartphone or hospital intranet. The authors evaluated the system in a prospective controlled stepped-wedge study with blinded outcome assessment in general internal medicine units at two academic hospitals. The outcomes were the proportion of potential clinical actions that were actually completed in response to the alert, and adverse events (worsening of condition or complications related to treatment of the condition). Results: The authors evaluated 498 laboratory conditions on 271 patients. Overall, only 50% of potential clinical actions were carried out, and there were adverse clinical events within 48 h for 36% of the laboratory conditions. The median (IQR) proportion of potential clinical actions that were actually completed was 50% (33-75%) with alerting system on and 50% (33-100%) with alerting system off (p=0.94, Wilcoxon rank sum test). When the alerting system was on (n=164 alerts) there were 67 adverse events within 48 h of the alerts (42%). When the alerting system was off (n=334 alerts), there were 112 adverse events within 48 h (33%; difference: 9% higher with alerting system on, p=0.06). Conclusions: The provision of real-time clinical alerts and decision support for critical laboratory abnormalities did not improve clinical management or decrease adverse events.
机译:背景:对于有严重实验室异常的患者,及时的临床警报和决策支持可以改善管理并减少不良事件。方法:作者开发了针对严重实验室异常的实时临床警报系统。系统将警报作为文本消息发送给医生,发送给智能手机或字母数字寻呼机。可通过智能手机或医院内部网获得决策支持。作者在前瞻性对照阶梯楔入研究中对系统进行了评估,该研究在两家学术医院的普通内科病房进行了盲目结局评估。结果是响应警报而实际完成的潜在临床行动的比例,以及不良事件(病情恶化或与病情治疗相关的并发症)。结果:作者评估了271例患者的498个实验室条件。总体而言,仅执行了50%的潜在临床行动,并且在36%的实验室条件下48小时内发生了不良临床事件。警报系统开启时,实际完成的潜在临床行动的中位数(IQR)比例为50%(33-75%),警报系统关闭时为50%(33-100%)(p = 0.94,Wilcoxon秩和检验) 。当警报系统打开时(n = 164个警报),在警报48小时内有67个不良事件(42%)。当警报系统关闭时(n = 334警报),在48小时内有112例不良事件(33%;差异:警报系统打开时,不良事件增加9%,p = 0.06)。结论:为严重的实验室异常提供实时临床警报和决策支持并不能改善临床管理或减少不良事件。

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