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电子处方的安全性:在医院中与两个商业系统相关的系统相关错误的表现、机制和发生率。

The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals.

机构信息

Faculty of Medicine, Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales, Australia.

出版信息

J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1159-67. doi: 10.1136/amiajnl-2013-001745. Epub 2013 May 30.

Abstract

OBJECTIVES

To compare the manifestations, mechanisms, and rates of system-related errors associated with two electronic prescribing systems (e-PS). To determine if the rate of system-related prescribing errors is greater than the rate of errors prevented.

METHODS

Audit of 629 inpatient admissions at two hospitals in Sydney, Australia using the CSC MedChart and Cerner Millennium e-PS. System related errors were classified by manifestation (eg, wrong dose), mechanism, and severity. A mechanism typology comprised errors made: selecting items from drop-down menus; constructing orders; editing orders; or failing to complete new e-PS tasks. Proportions and rates of errors by manifestation, mechanism, and e-PS were calculated.

RESULTS

42.4% (n=493) of 1164 prescribing errors were system-related (78/100 admissions). This result did not differ by e-PS (MedChart 42.6% (95% CI 39.1 to 46.1); Cerner 41.9% (37.1 to 46.8)). For 13.4% (n=66) of system-related errors there was evidence that the error was detected prior to study audit. 27.4% (n=135) of system-related errors manifested as timing errors and 22.5% (n=111) wrong drug strength errors. Selection errors accounted for 43.4% (34.2/100 admissions), editing errors 21.1% (16.5/100 admissions), and failure to complete new e-PS tasks 32.0% (32.0/100 admissions). MedChart generated more selection errors (OR=4.17; p=0.00002) but fewer new task failures (OR=0.37; p=0.003) relative to the Cerner e-PS. The two systems prevented significantly more errors than they generated (220/100 admissions (95% CI 180 to 261) vs 78 (95% CI 66 to 91)).

CONCLUSIONS

System-related errors are frequent, yet few are detected. e-PS require new tasks of prescribers, creating additional cognitive load and error opportunities. Dual classification, by manifestation and mechanism, allowed identification of design features which increase risk and potential solutions. e-PS designs with fewer drop-down menu selections may reduce error risk.

摘要

目的

比较两种电子医嘱系统(e-PS)相关的表现、机制和系统相关错误率。确定系统相关的处方错误率是否大于预防的错误率。

方法

对澳大利亚悉尼两家医院的 629 例住院患者进行审核,使用 CSC MedChart 和 Cerner Millennium e-PS。系统相关错误按表现(例如,剂量错误)、机制和严重程度进行分类。机制分类包括从下拉菜单中选择项目、构建医嘱、编辑医嘱或未能完成新的 e-PS 任务。按表现、机制和 e-PS 计算错误的比例和发生率。

结果

1164 个处方错误中有 42.4%(493/1164)为系统相关(78/100 个入院)。这一结果在两种 e-PS 之间没有差异(MedChart 为 42.6%(95%CI 39.1 至 46.1);Cerner 为 41.9%(37.1 至 46.8))。对于 13.4%(66/500)的系统相关错误,有证据表明该错误在研究审核之前就已经被发现。27.4%(135/500)的系统相关错误表现为时间错误,22.5%(111/500)为药物强度错误。选择错误占 43.4%(34.2/100 个入院),编辑错误占 21.1%(16.5/100 个入院),未能完成新的 e-PS 任务占 32.0%(32.0/100 个入院)。MedChart 生成的选择错误(OR=4.17;p=0.00002)更多,但生成的新任务失败(OR=0.37;p=0.003)更少。与 Cerner e-PS 相比,这两种系统预防的错误明显多于生成的错误(220/100 个入院(95%CI 180 至 261)与 78(95%CI 66 至 91))。

结论

系统相关错误很常见,但很少被发现。电子医嘱系统需要医生执行新任务,这增加了认知负荷和错误机会。通过表现和机制进行双重分类,可以确定增加风险和潜在解决方案的设计特征。减少下拉菜单选择数量的电子医嘱系统设计可能会降低错误风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c46/3822121/26483c8227c1/amiajnl-2013-001745f01.jpg

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