Simulation to assess intelligent video camera system's actual production performance during chemotherapy preparation

Q4 Pharmacology, Toxicology and Pharmaceutics
M. Laplace, B. Lefranc, B. Dalifard
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引用次数: 2

Abstract

Introduction: DRUGCAM is a new approach to control the chemotherapy preparations with an intelligent video system to assist the pharmacy technician during compounding process. This tool is able to control all of our production (except for colored and dark anticancer drugs) with an in-process control and a posteriori inspection. We first aimed to estimate DRUGCAM’s performance in reallife production by simulation and to compare it with the double human control. Furthermore, factors influencing the performance of both controls were observed and preventive solutions will be envisaged to optimize our activity. Equipment and methods: Each day during 30 days, between 11:30 AM and 12:30 AM, we controlled 20 different volumes contained in syringes, in real production conditions (clean room) both by human visual inspection then by automated video control. Working conditions have been observed and tasks disturbances and interruptions have been noted. A set of information has been collected: the syringe’s model, the volume of product and the disturbances. A statistical analysis has been conducted to interpret results. Results: With 24 errors throughout the 600 volume controls, the error rate for the visual human control is 4%. Seven checked volumes were superior to the expected volume (overdosing) and 17 were inferior (underdosing). The error rate for DRUGCAM is 0.17%. Among the disturbance factors, the type of syringe used is responsible for errors: 13 errors have been noticed with the 1mL syringe and 8 errors with the 10mL syringe which represent higher error rates than with the other syringes. The “permanent” staff members of the unit present an error rate of 5.3%, more important than the “non-permanent” ones (1.8%). More mistakes are done in the presence of a pharmacist than in its absence (13% against 4%). Conclusion: Our studies justify the superiority of the DRUGCAM system toward double human control. Moreover, the double human control could possibly be disturbed by external factors whereas DRUGCAM is not. Using DRUGCAM is to be considered to establish preventive measures and reduce tasks interruptions or disturbance factors thanks to video analysis.
模拟评估智能摄像机系统在化疗准备过程中的实际生产性能
简介:DRUGCAM是一种通过智能视频系统来控制化疗制剂的新方法,在配制过程中为药房技术人员提供帮助。该工具能够通过过程控制和事后检查来控制我们的所有生产(有色和深色抗癌药物除外)。我们首先通过模拟来估计DRUGCAM在现实生活中的性能,并将其与双重人控制进行比较。此外,观察到了影响两种控制效果的因素,并将设想预防性解决方案来优化我们的活动。设备和方法:在30天的时间里,每天上午11:30至12:30,我们在真实的生产条件下(洁净室)通过人工视觉检查和自动视频控制来控制注射器中的20种不同体积。已观察到工作条件,并注意到任务干扰和中断。已经收集了一组信息:注射器的型号、产品的体积和干扰。已经进行了统计分析来解释结果。结果:在600个音量控制中有24个错误,视觉人类控制的错误率为4%。7个检查体积高于预期体积(过量),17个检查体积低于预期体积(剂量不足)。DRUGCAM的错误率为0.17%。在干扰因素中,所用注射器的类型是造成错误的原因:1mL注射器出现了13个错误,10mL注射器出现8个错误,这表明错误率高于其他注射器。该单位的“长期”工作人员的错误率为5.3%,比“非常任”工作人员(1.8%)更重要。有药剂师在场时犯的错误比没有药剂师在场时多(13%对4%)。结论:我们的研究证明了DRUGCAM系统在双人控制方面的优越性。此外,双重人为控制可能受到外部因素的干扰,而DRUGCAM则不然。通过视频分析,使用DRUGCAM可以制定预防措施,减少任务中断或干扰因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
4
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