Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Department of Pediatric and Adolescent Medicine, Olmsted Medical Center, Rochester, Minnesota, USA.
J Am Med Inform Assoc. 2019 Oct 1;26(10):928-933. doi: 10.1093/jamia/ocz029.
Despite increased use of electronic health records (EHRs), the clinical impact of system downtime is unknown.
This retrospective matched cohort study evaluated the impact of EHR downtime episodes lasting more than 60 minutes over a 6-year study period. Patients age 18 years or older who underwent surgical procedures at least 60 minutes in duration with an inpatient stay exceeding 24 hours within the study period were eligible for inclusion. Out of 4115 patients exposed to 1 of 176 EHR downtime episodes, 4103 patients were matched to an unexposed cohort in a 1:1 ratio. Multivariable regression analysis, as well as trend analysis for effect of duration of downtime on outcomes, was performed.
Downtime-exposed patients had operating room duration 1.1 times longer (p < .001) and postoperative length of stay 1.04 times longer (p = .007) compared to unexposed patients. The 30-day mortality rates were similar between these groups (odds ratio 1.26, p > .05). In trend analysis, there was no association between duration of downtime with respect to evaluated outcomes, postoperative length of stay, and 30-day mortality.
EHR downtime had no impact on 30-day mortality. Potential associations for increased postoperative length of stay and duration of time spent in the operating room were observed among downtime-exposed patients. No trend effect was observed with respect to duration of downtime and postoperative length of stay and 30-day mortality rates.
尽管电子健康记录(EHR)的使用有所增加,但系统停机对临床的影响尚不清楚。
本回顾性匹配队列研究评估了持续时间超过 60 分钟的 EHR 停机事件在 6 年研究期间对患者的影响。在研究期间,年龄在 18 岁及以上、接受持续时间至少 60 分钟的手术且住院时间超过 24 小时的患者有资格纳入研究。在 4115 例暴露于 176 次 EHR 停机事件中的患者中,4103 例患者与未暴露于停机事件的患者以 1:1 的比例进行了匹配。进行了多变量回归分析以及停机时间对结局影响的趋势分析。
与未暴露于停机事件的患者相比,暴露于停机事件的患者手术室时间延长了 1.1 倍(p<0.001),术后住院时间延长了 1.04 倍(p=0.007)。两组 30 天死亡率相似(优势比 1.26,p>0.05)。在趋势分析中,停机时间与术后住院时间和 30 天死亡率之间没有关联。
EHR 停机对 30 天死亡率没有影响。在停机患者中观察到术后住院时间延长和手术室时间延长的潜在关联。在停机时间和术后住院时间及 30 天死亡率方面未观察到趋势效应。