Development and application of fully automated intelligent intravenous medication dispensing robot ML300 in Pharmacy Intravenous Admixture Services

doi:10.12307/2025.896

Abstract

Abstract: BACKGROUND: Dispensing robots have many advantages such as high accuracy, high efficiency, and ensuring a sterile environment, and are playing an increasingly important role in the medical field.
OBJECTIVE: To investigate the development and application of ML300, a fully automated intelligent intravenous medication dispensing robot, in intravenous medication dispensing centers.
METHODS: From June 1 to 30, 2024, 100 prescriptions of Pharmacy Intravenous Admixture Services of Tianjin Medical University Cancer Hospital containing three kinds of drugs: omeprazole sodium for injection, vitamin C injection, and magnesium isoglycyrrhizate were taken. According to the different methods of prescription configuration, they were divided into a control group (n=100) and an experimental group (n=100). The control group used an artificial simulated clinical work mode to prepare the above three drugs, and the operation was completed by several people; the experimental group used the fully automatic intelligent intravenous medication preparation robot ML300 to prepare the above three drugs, and the operation was completed by one person. The two groups were compared in terms of the dispensing efficiency, the amount of drug residue, the pass rate of insoluble particles, and the microbial detection rate in the configuration of the above three drugs.
RESULTS AND CONCLUSION: The dispensing efficiency and pass rate of insoluble particles of the three drugs in the experimental group were higher than those of the control group (P < 0.001), and the drug residue and microbial detection rate were lower than those of the control group (P < 0.001). Taking Omeprazole Sodium for Injection, Vitamin C Injection, and Magnesium Isoglycyrrhizate as examples, ML300 can improve the dispensing efficiency and optimize the dispensing quality of Pharmacy Intravenous Admixture Services staffs.

Key words: ML300, Pharmacy Intravenous Admixture Services, drug dispensing, development, application, engineered materials

CLC Number:

Wang Guanyuan, Li Wenli, Liu Jinglin, Zhang Jie. Development and application of fully automated intelligent intravenous medication dispensing robot ML300 in Pharmacy Intravenous Admixture Services[J]. Chinese Journal of Tissue Engineering Research, 2025, 29(34): 7362-7368.

Figures/Tables 3

References

[1] FANG S, HUANG X, CAI F, et al. Design, synthesis and molecular docking of novel D-ring substituted steroidal 4,5-dihydropyrazole thiazole derivatives that act as iNOS/COX-2 inhibitors with potent anti-inflammatory activity against LPS-induced RAW264.7 macrophage cells. J Steroid Biochem Mol Biol. 2024;240:106478.
[2] FAILY M, ORMESHER D, OWEN K. Pseudoaneurysm Ligations in Intravenous Drug Users: A Single Centre Analysis of Bed Days Lost to Further Postligation Procedures. EJVES Vascular Forum. 2022;54: e23-e24.
[3] KHAN I, BROOKES E, YAFTIAN N, et al. Multivalve infective endocarditis in intravenous drug using patients: an epidemiological study. QJM. 2022;115(7):463-468.
[4] KYLA Y, PENELOPE K, KERRY BM, et al. Accumulation of foamy macrophages in the bone marrow following chronic intravenous drug use. Br J Haematol. 2022;199(4):476.
[5] 徐明明,严翠霞,周勤,等.MFI在注射用尿激酶不溶性微粒检测中的应用[J].药物分析杂志,2023,43(1):29-36.
[6] 李由,张佳思,胡颖,等.静脉配药机器人在智慧型药事服务中的应用[J].重庆医学,2022,51(24):4313-4317.
[7] 胡颖,田娇,廖晗宇,等.静脉用药调配机器人在护理临床工作中的应用探究及思考[J].重庆医学,2023,14(23):3669-3672.
[8] 王可,张辉,曹意宏,等.面向医药生产的智能机器人及其关键技术研究综述[J].计算机集成制造系统,2022,28(7):1981-1995.
[9] 童彤,丁海文,沈爱宗,等.智能机器人调配注射用头孢哌酮钠舒巴坦钠技术参数的优化[J].中国医院药学杂志,2022,42(17):1794-1797.
[10] ALAHMARI AR, ALRABGHI KK, DIGHRIRI IM. An Overview of the Current State and Perspectives of Pharmacy Robot and Medication Dispensing Technology. Cureus. 2022;14(8):e28642.
[11] LIU S, FU J, SHEN X, et al. Improved wear resistance of cemented carbide impact needle under high frequency micro-amplitude impact treated by high current pulsed electron beam. Wear. 2023;518: 204632.
[12] CAI L, DONG S, HUANG X, et al. Mechanical performance analysis and experimental study of soft-bodied bird-billed pneumatic gripper. The Industrial Robot. 2022;49(5):924-933.
[13] BATSON S, HERRANZ A, ROHRBACH N, et al. Automation of in-hospital pharmacy dispensing: a systematic review. Eur J Hosp Pharm. 2021;28(2):58-64.
[14] ZHANG L, LIU W, ZHANG Y. Application of Intelligent Intravenous Drug Dispensing Robot in Clinical Nursing. Contrast Media Mol Imaging. 2022;2022:4769883.
[15] ILKIC J, MILOVANOVIC M, MARINKOVIC V. Prospective systematic risk analysis of the digital technology use within pharmaceutical care. J Am Pharm Assoc (2003). 2024;64(4):102081.
[16] KEESEY R, LESUER R, SCHRIER J. Sidekick: A Low-Cost Open-Source 3D-printed liquid dispensing robot. HardwareX. 2022;12:e00319.
[17] WEERARATHNA IN, RAYMOND D, LUHARIA A. Human-Robot Collaboration for Healthcare: A Narrative Review. Cureus. 2023; 15(11):e49210.
[18] XUE P, XU HM, TANG HP, et al. Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence. Mod Pathol. 2023;36(8):100186.
[19] YANG Z, XU C, LEE JX, et al. Magnetic Miniature Soft Robot with Reprogrammable Drug-Dispensing Functionalities: Toward Advanced Targeted Combination Therapy. Adv Mater. 2024:e2408750. doi: 10.1002/adma.202408750.
[20] GAUTAM K, PANDEY N, YADAV D, et al. Ecotoxicological impacts of landfill sites: Towards risk assessment, mitigation policies and the role of artificial intelligence. Sci Total Environ. 2024;927:171804.
[21] HÄNNINEN K, AHTIAINEN HK, SUVIKAS-PELTONEN EM, et al. Automated unit dose dispensing systems producing individually packaged and labelled drugs for inpatients: a systematic review. Eur J Hosp Pharm. 2023;30(3):127-135.
[22] JIANG S, LI B, ZHAO J, et al. Magnetic Janus origami robot for cross-scale droplet omni-manipulation. Nat Commun. 2023;14(1):5455.
[23] HASHIDA T, KOIDE N, MUROI N. Evaluating the safety and efficiency of robotic dispensing systems. J Pharm Health Care Sci. 2022;8(1):24.
[24] ML H, T W, JQ Z, et al. Evaluation of external contamination on the vial surfaces of some hazardous drugs that commonly used in Chinese hospitals and comparison between environmental contamination generated during robotic compounding by IV: Dispensing robot vs. manual compounding in biological safety cabinet. J Oncol Pharm Pract. 2022;28(7):1487-1498.
[25] RHODES JAM, MCCARTHY BC, SCOTT AC. Automated Dispensing Cabinet Functionality Expansion to Reduce Controlled Substance Inventory Discrepancies. Hosp Pharm. 2022;57(4):526-531.
[26] SCHUSTER J, KAMUJU V, ZHOU J, et al. Piston-driven automated liquid handlers. SLAS Technol. 2024;29(3):100128.
[27] PAVLOV VN, URMANTSEV MF, YUDINA YB, et al. [A place of robot-assisted cystectomy in treatment of muscle-invasive bladder cancer]. Urologiia. 2021;(6):141-144.
[28] MA J, KRISNADI F, VONG MH, et al. Shaping a Soft Future: Patterning Liquid Metals. Adv Mater. 2023;35(19):e2205196.
[29] KWON YT, JEON S, LEE J, et al. Performance Improvement of an STS304-Based Dispensing Needle via Electrochemical Etching. Micromachines (Basel). 2023;14(12):2183.
[30] SVIRSKO AC, NORMAN BA, HOSTETLER S, et al. Optimizing the Medication Distribution Process for Inpatient Units. J Med Syst. 2022; 46(6):32.
[31] GRAF TP, KADASIA K, MELHORN S, et al. Fabrication of Pulsatile Polymeric Microparticles Encapsulating Rabies Antigen. J Vis Exp. 2023;195:e55147.
[32] BAGATTINI ÂM, BORGES JLA, RIERA R, et al. Automation of a tertiary hospital pharmacy drug dispensing system in a lower-middle-income country: A case study and preliminary results. Explor Res Clin Soc Pharm. 2022;6:100151.
[33] CTORTECKA C, CLARK NM, BOYLE B, et al. Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications. bioRxiv [Preprint]. 2024:2024.01.20.576369.doi:10.1101/2024.01.20.576369.
[34] SÁNCHEZ-IBÁÑEZ JR, PÉREZ-DEL-PULGAR CJ, GARCÍA-CEREZO A. Path Planning for Autonomous Mobile Robots: A Review. Sensors (Basel). 2021;21(23):7898.
[35] MAYET AY, KHURSHID F, AL-OMAR HA, et al. Pharmacy practice in hospital settings in GCC countries: Dispensing and administration. Saudi Pharm J. 2023;31(3):453-461.
[36] ALTYAR A, SADOUN SA, ALJOHANI SS, et al. Evaluating Pharmacy Practice in Hospital Settings in Jeddah City, Saudi Arabia: Dispensing and Administration-2019. Hosp Pharm. 2022;57(1):32-37.
[37] WU EL, DESAI PM, ZAIDI SAM, et al. High-throughput blend segregation evaluation using automated powder dispensing technology. Eur J Pharm Sci. 2021;159:105702.
[38] PANDA S, HAJRA S, MISTEWICZ K, et al. A focused review on three-dimensional bioprinting technology for artificial organ fabrication. Biomater Sci. 2022;10(18):5054-5080.
[39] COUNCILL EEAW, AXTELL NB, TRUONG T, et al. Adapting a Low-Cost and Open-Source Commercial Pipetting Robot for Nanoliter Liquid Handling. SLAS Technol. 2021;26(3):311-319.
[40] CAO N, MARCUS A, ALTARAWNEH L, et al. Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study. Health Care Manag Sci. 2023; 26(2):344-362.
[41] HE P, GUAN S, REN E, et al. Precision Interventional Brachytherapy: A Promising Strategy Toward Treatment of Malignant Tumors. Front Oncol. 2021;11:753286.
[42] OZER T, AGIR I, HENRY CS. Rapid prototyping of ion-selective electrodes using a low-cost 3D printed internet-of-things (IoT) controlled robot. Talanta. 2022;247:123544.
[43] LEDUC A, KHOURY L, CANTLON J, et al. Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP. Nat Protoc. 2024. doi: 10.1038/s41596-024-01033-8.
[44] MERTZ L, TORNBJERG K, NØHR C. User Perception of Automated Dose Dispensed Medicine in Home Care: A Scoping Review. Healthcare (Basel). 2021;9(10):1381.
[45] BASILE K, MARTÍNEZ M, LUCACI JD, et al. Enhancing Operational Efficiency and Service Delivery through a Robotic Dispensing System: A Case Study from a Retail Pharmacy in Brazil. Pharmacy (Basel). 2024;12(5):130.
[46] RANE K, KUKREJA G, DESHMUKH S, et al. Robotic Pills as Innovative Personalized Medicine Tools: A Mini Review. Recent Adv Drug Deliv Formul. 2024;18(1):2-11.
[47] AL NEMARI M, WATERSON J. The Introduction of Robotics to an Outpatient Dispensing and Medication Management Process in Saudi Arabia: Retrospective Review of a Pharmacy-led Multidisciplinary Six Sigma Performance Improvement Project. JMIR Hum Factors. 2022;9(4):e37905.
[48] HENKEL T, MAYER G, HAMPL J, et al. From Microtiter Plates to Droplets-There and Back Again. Micromachines (Basel). 2022; 13(7):1022.
[49] HANNART H, BERGER A, AEBERLI L, et al. Traceable impedance-based single-cell pipetting, from a research set-up to a robust and fast automated robot: DispenCell-S1. SLAS Technol. 2022;27(2):121-129.
[50] KIANI MJ, DEHGHAN A, SAADATBAKHSH M, et al. Robotic digital microfluidics: a droplet-based total analysis system. Lab Chip. 2023; 23(4):748-760.
[51] FOX E, MISKO J, CHEAIB A, et al. An evaluation of automated dispensing cabinets and inventory robots for centralised distribution of medication in an Australian hospital. Aust Health Rev. 2021;45: 597-600.
[52] VERCHES D, ZENG S, MONTGOMERY-WALSH R, et al. Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot. Front Robot AI. 2022;9: 814268.
[53] KRIEGER A. Supervised Autonomous Electrosurgery for Soft Tissue Resection. Proc IEEE Int Symp Bioinformatics Bioeng. 2021;2021:10.
[54] PAGAN E, STEFANEK E, SEYFOORI A, et al. A handheld bioprinter for multi-material printing of complex constructs. Biofabrication. 2023;15(3):035012.
[55] TENG R, DING Y, SEE KC. Use of Robots in Critical Care: Systematic Review. J Med Internet Res. 2022;24(5):e33380.
[56] OKUMURA H, SAKAI N, MURAKAMI H, et al. In situ crystal data-collection and ligand-screening system at SPring-8. Acta Crystallogr F Struct Biol Commun. 2022;78(Pt 6):241-251.
[57] LIU H, ZOU L, SONG Y, et al. Cost analysis of implementing a vial-sharing strategy for chemotherapy drugs using intelligent dispensing robots in a tertiary Chinese hospital in Sichuan. Front Public Health. 2022;10:936686.
[58] WIRTH M, MILLER ML, BLIKSTEIN P, et al. DIY liquid handling robots for integrated STEM education and life science research. PLoS One. 2022;17(11):e0275688.
[59] SKYGGEDAL A, NIELSEN F, BERGMANN TK. Drug-drug cross contamination in the Swisslog fully automated medication handling system. Eur J Hosp Pharm. 2021;28(4):229-230.
[60] CHEN CW. [Technology and Care: Starting From Human-Centered Compassion]. Hu Li Za Zhi. 2024;71(3):4-5.