Hospital Pharmacy School, Turin University, Turin, Italy.
Hospital Pharmacy, Candiolo Cancer Institute, FPO-IRCCS, Candiolo,Turin, Italy.
J Oncol Pharm Pract. 2022 Mar;28(2):353-361. doi: 10.1177/1078155221992851. Epub 2021 Feb 10.
The management of antineoplastic drugs used for chemotherapy is widely recognized as a high-risk activity. In 2018, our oncology pharmacy implemented workflow improvements to manage the growing workload due to the centralisation of activities from a hospital's satellite pharmacy, moving towards automated compounding of antineoplastic drugs.The aim of this study was to determine the impact of the centralization on the productivity of the pharmacy department and evaluate the performances of the robotic chemotherapy drugs compounding.
Data were collected from the hospital information system and the workflow management software, and examined over a 3-year period (2017-2019). The total annual throughput in terms of doses prepared and patients treated and the Medication Turnaround Time (MTAT) were determined. Productivity and dosage accuracy were calculated for the robotic system.
In 2018, the number of patients treated increased by 16.6%, consequently, the overall number of intravenous preparations compounded in the pharmacy increased by 17.2%. Regarding manual compounding, the total number of antineoplastic preparations decreased by about 2%. Investigational treatments manually compounded increased by about 27%, in contrast to the non-investigational treatments, which decreased by 9.4%. Regarding robotic compounding, the annual production increased by 50.4%. In 2018, the MTAT decreased about 24%. The dosage accuracy and precision of the total amount of doses were -1.1% and 1.2%, respectively.
This study indicates that in the effort to satisfy an ever-increasing workload, computerization and automation are essential instruments to maintain and ensuring high standards of quality.
抗肿瘤药物的管理在化疗中被广泛认为是一项高风险的活动。2018 年，我们的肿瘤药房实施了工作流程改进，以管理由于从医院卫星药房集中活动而导致的工作量增加，朝着自动化制备抗肿瘤药物的方向发展。本研究旨在确定集中化对药房部门生产力的影响，并评估机器人化疗药物配制的性能。
数据从医院信息系统和工作流管理软件中收集，并在 3 年期间（2017-2019 年）进行检查。根据准备的剂量和治疗的患者，确定了每年的总吞吐量，以及药物周转时间（MTAT）。计算了机器人系统的生产率和剂量准确性。
2018 年，治疗的患者数量增加了 16.6%，因此，药房中配制的静脉制剂总数增加了 17.2%。对于手动配制，抗肿瘤制剂的总数减少了约 2%。手动配制的研究性治疗增加了约 27%，而非研究性治疗则减少了 9.4%。关于机器人配制，年产量增加了 50.4%。2018 年，MTAT 减少了约 24%。总剂量的剂量准确性和精度分别为-1.1%和 1.2%。
本研究表明，在努力满足不断增加的工作量时，计算机化和自动化是维持和确保高质量标准的必要手段。
