Videau Manon, Charpiat Bruno, Conort Ornella, Janoly-Dumenil Audrey, Bedouch Pierrick
Université Grenoble Alpes, CNRS/TIMC-IMAG UMR5525, 38041, Grenoble, France; Pôle pharmacie, Centre Hospitalier Universitaire Grenoble Alpes, 38043, Grenoble, France; Groupe de travail "Valorisation des Interventions Pharmaceutiques-Act-IP©" de la Société Française de Pharmacie Clinique.
Université Grenoble Alpes, CNRS/TIMC-IMAG UMR5525, 38041, Grenoble, France; Département de pharmacie, hôpital Croix Rousse, Hospices civils de Lyon, 69004, Lyon, France; Groupe de travail "Valorisation des Interventions Pharmaceutiques-Act-IP©" de la Société Française de Pharmacie Clinique.
Ann Pharm Fr. 2023 Nov;81(6):1054-1071. doi: 10.1016/j.pharma.2023.06.003. Epub 2023 Jun 24.
Prescribing errors related to computerized physician order entry are current and may have serious consequences for patients. They can be detected by pharmacists during prescriptions analysis and lead to pharmacist's interventions. In France, few monocentric studies have studied Pharmacist Interventions triggered by prescribing errors identified as System-Related Errors (PISREs) in French hospitals. However, their respective analysis method prevent any comparison between computerized physician order entry systems in order to identify the safest and rule out the most dangerous. A computerized physician prescribing error related to the software is characterized by its causes, consequences and mechanism of occurrence. US researchers have developed and validated a tool to classify and illustrate these three characteristics. The objectives of this article are to present this tool, to propose a French adaptation and to describe the perspectives analyze and understand prescription errors related to computerized physician order entry based on data of Act-IP©. The adaptation was performed using PISREs extracted from the Act-IP© observatory of the French Society of Clinical Pharmacy. Each item of the codification is illustrated with an example of PI. We are considering a training plan in order to allow wide use of this tool. Once adopted this tool, the next step will be to organize a prospective multicenter study including as many computerized prescription order entry systems as possible. The aim of this study will be identifying the safest systems. Consequently, it will then be possible to have arguments to qualify the most dangerous and thus propose their withdrawal from the market.
与计算机化医嘱录入相关的处方错误是当前存在的问题，可能会给患者带来严重后果。药剂师在处方分析过程中能够检测到这些错误，并引发药剂师的干预措施。在法国，很少有单中心研究探讨法国医院中由被认定为系统相关错误的处方错误引发的药剂师干预措施（PISREs）。然而，他们各自的分析方法阻碍了对计算机化医嘱录入系统进行任何比较，以便识别出最安全的系统并排除最危险的系统。与软件相关的计算机化医师处方错误具有其原因、后果和发生机制。美国研究人员开发并验证了一种工具，用于对这三个特征进行分类和说明。本文的目的是介绍该工具，提出法语版本，并基于Act-IP©的数据描述分析和理解与计算机化医嘱录入相关的处方错误的前景。采用从法国临床药学协会的Act-IP©观察站提取的PISREs进行改编。编码的每个项目都配有一个PI示例进行说明。我们正在考虑制定一个培训计划，以便广泛使用该工具。一旦采用该工具，下一步将是组织一项前瞻性多中心研究，纳入尽可能多的计算机化处方录入系统。这项研究的目的将是识别出最安全的系统。因此，届时将有可能有理由认定最危险的系统，并提议将其撤出市场。
