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抗肿瘤药物调配机器人在降低肿瘤科医院药剂科手工调配风险中的作用。

Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology.

机构信息

Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco.

Ibn Sina University Hospital, Rabat, Morocco.

出版信息

J Oncol Pharm Pract. 2023 Sep;29(6):1334-1342. doi: 10.1177/10781552221118846. Epub 2022 Aug 8.

Abstract

INTRODUCTION

In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is to evaluate the contribution of the robot in reducing the risk of manual preparation.

METHODS

The study was conducted at the pharmacy of the National Institute of Oncology in Rabat (May-August 2021). The method used to compare the two types of preparation is the method of analysis of failure modes, their effects and their criticality (FMECA). It will calculate the criticality index (CI = severity × frequency × detectability). The risks have been categorized into human, technical, and environmental risks.

RESULTS

The anticancer drugs reconstitution step was the most critical in manual preparation (CI = 126.7) and robotic preparation (CI = 40.7). The robot has made it possible to reduce several CIs of manual preparation including: musculoskeletal disorders of pharmacy operators -93 (89%), error in cancer drug and diluent selection -72 (60%), as well as lack of traceability -145 (97%).

CONCLUSION

The preparation robot has made it possible to reduce many of the risks of manual preparation, and constitutes an important advance in the field of oncology pharmacy.

摘要

简介

在过去的几年中,制药技术已经发展。在肿瘤药学领域,用于制备抗癌药物的机器人已经出现,逐渐取代了人工准备。本研究的目的是评估机器人在降低人工准备风险方面的作用。

方法

该研究于 2021 年 5 月至 8 月在拉巴特国家肿瘤学研究所的药房进行。用于比较两种准备方法的方法是失效模式、影响和可检测性分析(FMECA)的方法。它将计算临界指数(CI=严重性×频率×可检测性)。风险分为人为风险、技术风险和环境风险。

结果

抗癌药物的重构步骤在手动准备(CI=126.7)和机器人准备(CI=40.7)中最为关键。机器人的应用使得减少了几个手动准备的关键指数成为可能,包括:药剂师肌肉骨骼疾病-93(89%),抗癌药物和稀释剂选择错误-72(60%),以及缺乏可追溯性-145(97%)。

结论

准备机器人已经使得减少许多手动准备的风险成为可能,这在肿瘤药学领域是一个重要的进步。

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