Julie Thiec, Delphine Malet, Anne Colombe, Anne-Laure Debruyne, Emmanuelle Queuille
{"title":"[与指定单位剂量分配机器人系统的实施相关的风险:在医院药房使用十年后的分析]。","authors":"Julie Thiec, Delphine Malet, Anne Colombe, Anne-Laure Debruyne, Emmanuelle Queuille","doi":"10.1016/j.pharma.2025.05.003","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Our hospital pharmaceutical department acquired an automated drug dispensive system to secure the medication management, from the dispensation to the administration process. The aim of our study was to secure the new circuit by identifying the risks associated with the implementation of the robotic system.</p><p><strong>Methods: </strong>A working-group was set-up and the use of the Failure Modes, Effects and Criticality Analysis (FMECA) method was decided. FMECA is a proactive risk assessment tool that allows the identification of all potential failures. It relies on the identification of failure modes and their severity, frequency and detectability. The product of the three ratings determines the criticality of the failure mode and allows to rank the failure modes according to the criticality: from low, to intermediate and high.</p><p><strong>Results: </strong>The process was delimited from drug analysis to medication delivery to the wards. Six steps and 33 sub-steps were identified. In all, 75 failure modes were identified, 67% of which could lead to a medication error. The working-group identified and prioritised corrective measures to implement. It was decided to focus on the failure modes with a high and intermediate criticality index.</p><p><strong>Conclusions: </strong>This analysis allowed us to highlight weaknesses is the new process created with the implementation of the robotic system. The sub-steps the more at risk are prescription analysis and pillboxes' manually addings. FMECA is an effective tool easy to implement that allows the pooling of ideas and to be exhaustive in the identification of failure modes.</p>","PeriodicalId":8332,"journal":{"name":"Annales pharmaceutiques francaises","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Risks associated with the implementation of a nominative unit-dose dispensing robotic system: Analysis after ten years of use within a hospital pharmacy department].\",\"authors\":\"Julie Thiec, Delphine Malet, Anne Colombe, Anne-Laure Debruyne, Emmanuelle Queuille\",\"doi\":\"10.1016/j.pharma.2025.05.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Our hospital pharmaceutical department acquired an automated drug dispensive system to secure the medication management, from the dispensation to the administration process. The aim of our study was to secure the new circuit by identifying the risks associated with the implementation of the robotic system.</p><p><strong>Methods: </strong>A working-group was set-up and the use of the Failure Modes, Effects and Criticality Analysis (FMECA) method was decided. FMECA is a proactive risk assessment tool that allows the identification of all potential failures. It relies on the identification of failure modes and their severity, frequency and detectability. The product of the three ratings determines the criticality of the failure mode and allows to rank the failure modes according to the criticality: from low, to intermediate and high.</p><p><strong>Results: </strong>The process was delimited from drug analysis to medication delivery to the wards. Six steps and 33 sub-steps were identified. In all, 75 failure modes were identified, 67% of which could lead to a medication error. The working-group identified and prioritised corrective measures to implement. It was decided to focus on the failure modes with a high and intermediate criticality index.</p><p><strong>Conclusions: </strong>This analysis allowed us to highlight weaknesses is the new process created with the implementation of the robotic system. The sub-steps the more at risk are prescription analysis and pillboxes' manually addings. FMECA is an effective tool easy to implement that allows the pooling of ideas and to be exhaustive in the identification of failure modes.</p>\",\"PeriodicalId\":8332,\"journal\":{\"name\":\"Annales pharmaceutiques francaises\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annales pharmaceutiques francaises\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.pharma.2025.05.003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annales pharmaceutiques francaises","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.pharma.2025.05.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
[Risks associated with the implementation of a nominative unit-dose dispensing robotic system: Analysis after ten years of use within a hospital pharmacy department].
Objectives: Our hospital pharmaceutical department acquired an automated drug dispensive system to secure the medication management, from the dispensation to the administration process. The aim of our study was to secure the new circuit by identifying the risks associated with the implementation of the robotic system.
Methods: A working-group was set-up and the use of the Failure Modes, Effects and Criticality Analysis (FMECA) method was decided. FMECA is a proactive risk assessment tool that allows the identification of all potential failures. It relies on the identification of failure modes and their severity, frequency and detectability. The product of the three ratings determines the criticality of the failure mode and allows to rank the failure modes according to the criticality: from low, to intermediate and high.
Results: The process was delimited from drug analysis to medication delivery to the wards. Six steps and 33 sub-steps were identified. In all, 75 failure modes were identified, 67% of which could lead to a medication error. The working-group identified and prioritised corrective measures to implement. It was decided to focus on the failure modes with a high and intermediate criticality index.
Conclusions: This analysis allowed us to highlight weaknesses is the new process created with the implementation of the robotic system. The sub-steps the more at risk are prescription analysis and pillboxes' manually addings. FMECA is an effective tool easy to implement that allows the pooling of ideas and to be exhaustive in the identification of failure modes.
期刊介绍:
This journal proposes a scientific information validated and indexed to be informed about the last research works in all the domains interesting the pharmacy. The original works, general reviews, the focusing, the brief notes, subjected by the best academics and the professionals, propose a synthetic approach of the last progress accomplished in the concerned sectors. The thematic Sessions and the – life of the Academy – resume the communications which, presented in front of the national Academy of pharmacy, are in the heart of the current events.