实时临床警报对麻醉记录依从性的影响:一项回顾性观察研究。

The impact of real-time clinical alerts on the compliance of anesthesia documentation: A retrospective observational study.

机构信息

Memorial Sloan Kettering Cancer Center Department of Anesthesiology and Critical Care Medicine, United States.

New York Medical College School of Medicine, United States.

出版信息

Comput Methods Programs Biomed. 2020 Jul;191:105399. doi: 10.1016/j.cmpb.2020.105399. Epub 2020 Feb 28.

Abstract

INTRODUCTION

Clinical alert systems (CAS) have been used to analyze deviations from hospital standards in the electronic medical record to identify missing documentations and send alerts to the appropriate providers to increase adherence to required elements. To improve compliance, an alert system for documentation of the Immediate Preoperative Assessment (IPOA) was implemented at our institution in August 2018 with the goal of improving documentation compliance rates. We hypothesized that implementation of this alert system would increase the compliance of on-time documentation of the IPOA.

METHODS

An initial data query in our institutional data warehouse was made for all patients who had a completed anesthetic during our study period. This date range corresponded to 6 months before and after August 2nd, 2018, the date when the IPOA alert was implemented and the anesthesiology department. The following analyses were performed: testing the proportion of cases compliant with on-time documentation of the IPOA pre- versus post-implementation for the full cohort and among subsets of interest, testing the time when the IPOA was completed relative to anesthesia end, and testing whether time of day of when surgery occurred had an impact on the time when the IPOA was completed relative to the drapes off/IPOA alert sent time. The proportion of compliance for pre- versus post-implementation was tested by Chi-square test.

RESULTS

Through retrospective chart review of electronic patient records, 47,417 cases matched our inclusion criteria of patients that had a completed anesthetic between February 2nd, 2018 to February 2nd, 2019. In total, we excluded 5132 cases. The compliance rate of IPOA completion increased from 76% to 88% (P < 0.001) before and after the alert implementation date. In the initial month following alert implementation, the compliance rate immediately increased to 83% and stayed in the high 80's for the balance of the study period.

CONCLUSION

In summary, we demonstrate that automated Clinical Alert Systems operating via a single page notification can improve the compliance rate for documentation of key anesthesia events and that this observation is sustained six months after the implementation date. Furthermore, improvement in compliance is highest shorter cases and cases that occur early in the day. This study shows promising results in the use of automatic CAS system alerts to help hospitals meet the Center for Medicare and Medicaid Services (CMS) and The Joint Commission (TJC) standards.

摘要

简介

临床警示系统(CAS)已被用于分析电子病历中与医院标准的偏差,以识别缺失的文件,并向适当的提供者发送警报,以提高对所需元素的遵守率。为了提高依从性,我们在 2018 年 8 月在我们的机构实施了一个用于即时术前评估(IPOA)文件记录的警示系统,目的是提高文件记录的依从率。我们假设实施该警示系统将提高 IPA 按时记录的依从性。

方法

在我们的机构数据仓库中进行了一项初始数据查询,查询了我们研究期间完成麻醉的所有患者。这个日期范围对应于 2018 年 8 月 2 日之前和之后的 6 个月,这是 IPA 警示系统实施和麻醉科的日期。进行了以下分析:测试全队列和感兴趣的亚组中 IPA 按时记录的依从性比例,测试 IPA 完成相对于麻醉结束的时间,以及测试手术发生的时间是否对相对于铺巾/IPA 警示发送时间完成 IPA 的时间有影响。通过卡方检验测试实施前后的依从性比例。

结果

通过对电子患者记录的回顾性图表审查,有 47417 例符合我们的纳入标准,即 2018 年 2 月 2 日至 2019 年 2 月 2 日之间完成麻醉的患者。总共排除了 5132 例。在警示系统实施前后,IPA 完成的依从率从 76%提高到 88%(P<0.001)。在警示系统实施后的第一个月,依从率立即提高到 83%,并在研究期间的剩余时间保持在 80%以上。

结论

总之,我们证明了通过单个页面通知操作的自动化临床警示系统可以提高关键麻醉事件文件记录的依从率,并且这种观察结果在实施日期后的六个月内仍然存在。此外,依从率的提高在较短的病例和当天较早的病例中最高。这项研究表明,使用自动 CAS 系统警报来帮助医院满足医疗保险和医疗补助服务中心(CMS)和联合委员会(TJC)的标准是有前景的。

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