Roles of Biomedical Equipment Technicians, Nurses, and Health Care Assistants in Ensuring Safe Use of Infusion Pumps in Hospital Settings
DOI:
https://doi.org/10.22399/ijcesen.4935Keywords:
Infusion Pumps, Patient Safety, Biomedical Equipment Technician (BMET), Nursing, Health Care Assistant (HCA), Smart PumpAbstract
The safe administration of intravenous medications via infusion pumps in hospital settings is a complex, high-stakes process that relies not on a single individual but on the synergistic collaboration of a multi-disciplinary team. Biomedical Equipment Technicians (BMETs), establish the foundational layer of safety by ensuring technical reliability through rigorous preventive maintenance, accurate repair, and the management of networked device cybersecurity. Nurses act as the clinical stewards at the point of care, applying professional judgment to verify medication orders, safely program smart pumps with their integrated dose-error reduction systems, and vigilantly monitor both the patient's physiological response and the device's alarms amidst the challenge of alarm fatigue. HCAs, through their continuous bedside presence, provide an essential extension of the care team, observing IV sites for complications, assisting with safe patient mobility, and reporting critical observations. Ultimately, ensuring zero harm from infusion therapy requires a culture of shared responsibility, mutual respect, and open communication, transforming these individual roles into a cohesive and resilient system of synergistic guardians dedicated to patient well-being.
References
[1] Giuliano K. Intravenous smart pumps: usability issues, intravenous medication administration error, and patient safety. Crit Care Nurs Clin N Am. 2018;30(2):215–224.
[2] Batista E, Ferreira MdC, Furtado A, Sousa JAe. New EMPIR project - Metrology for Drug Delivery, the role of IPQ. In: 2019 IEEE international symposium on medical measurements and applications (MeMeA). 2019; pp. 1–5.
[3] Lopes A. Avaliação de desempenho para seleção de bombas de infusão destinadas a terapias com fármacos de meia-vida curta, janela terapêutica estreita e baixas vazões. PhD thesis, Universidade Federal do Rio de Janeiro. 2012
[4] Golpaygani A, Movahedi M, Reza M, Hassani K. A study on performance and safety test of infusion pump devices. Biomed Res-India. 2017;28(12):5179–5181.
[5] Johnson S. Smart pump implementation to meet anticipated surge needs during the COVID-19 pandemic. Nova scotia health. Can J Nurs Informatics. 2021; 16(1)
[6] Soares, F., Vieira, A., Soares, M., Sant’anna, M., Nascentes, R., Bossu, C. Peristaltic Pump And Detection System Controlled By An Arduino Open Source Hardware Developed And Designed For Application In A Flow. Quim Nova. 2018; 41(10), 1196–1199.
[7] Button V. Equipamentos médico-hospitalares e o gerenciamento da manutenção. In: Série F. Comunicação e Educação em Saúde. Brasília DF, Capítulo 8. Dispositivos de Infusão, Brasília - DF. 2002; pp. 303–305
[8] Samaranayake N, Cheung S, Chui W, Cheung B. Technology-related medication errors in a tertiary hospital: a 5-year analysis of reported medication incidents. Int J Med Informatics. 2012;81(12):828–833.
[9] Cauchi A, Thimbleby H, Oladimeji P, Harrison M. Using medical device logs for improving medical device design. In: 2013 IEEE international conference on healthcare informatics. 2013; pp. 56–65.
[10] Blake J, Giuliano K. Flow accuracy of IV smart pumps outside of patient rooms during COVID-19. AACN Adv Crit Care. 2020;31(4):357–363.
[11] Reis R, Milagre S, Pereira A, Souza D, Sá A. Análise metrológica e incertezas de medição como auxílio na avaliação de qualidade de bombas de infusão. In: X Conferência de Estudos em Engenharia Elétrica. 2012; pp. 1–5
[12] Junior AD. Estudo metrológico volumétrico de bombas de infusão peristálticas lineares. PhD thesis, Universidade Tecnológica Federal do Paraná. 2016
[13] Batista E, Sousa JA, Cardoso S, Silvério V. Experimental testing for metrological traceability and accuracy of liquid microflows and microfluidics. Flow Meas Instrum. 2020;71:101691.
[14] Taghipour S, Banjevic D. Trend analysis of the power law process with censored data. In: 2011 proceedings - annual reliability and maintainability symposium. 2011; pp. 1–6.
[15] King P, Fries R, Johnson A. Design of biomedical devices and systems. 4th edition. CRC Press; 2014. pp. 23–38.
[16] Enes S, Opitz S, Faro A, Pedreira M. Phlebitis associated with peripheral intravenous catheters in adults admitted to hospital in the Western Brazilian Amazon. J Sch Nurs USP. 2016;50(2):261–269.
[17] Shah A, Xu J, Friedman S, Puskas J, Bhatt H, Yimen M. Comparative analysis of intravenous pumps relocation for critically ill isolated COVID-19 patients from bedside to outside the patient room. J Intensive Care Med. 2021;36(6):719–725.
[18] Rocha P, Rocha M, Andrade I, Mota M. Assessment of nurses’ knowledge about the importance of continuous infusion of catecholamines in intensive care unit. Revista Mineira de Enfermagem. 2010;14(4):459–464.
[19] Baeckert M, Batliner M, Grass B, Buehler PK, Daners MS, Meboldt M, Weiss M. Performance of modern syringe infusion pump assemblies at low infusion rates in the perioperative setting. British J Anaesth. 2020;124(2):173–182.
[20] Etelvino M, Pereira M, Barreiro-Filho R. Infusion pump risk management. (2019). Gerenciamento de risco em bombas de infusão. Vigil Sanit Debate, Rio De Janeiro. 2019;7(4):61–66.
[21] Batista E, Sousa JA, Álvares M, Afonso J, Martins RF. Development of an experimental setup for micro flow measurement using the front tracking method. Meas Sens. 2021;18:100152.
[22] Manrique-Rodríguez S, Sánchez-Galindo AC, López-Herce J, Calleja-Hernández MÁ, Iglesias-Peinado I, Carrillo-Álvarez Á, Sáez MS, Fernández-Llamazares CM. Risks in the implementation and use of smart pumps in a pediatric intensive care unit: application of the failure mode and effects analysis. Int J Technol Assess Health Care. 2014;30(2):210–217.
[23] Lee SH, Kang W, Chun S. Dynamic behavior analysis of drug delivery devices using a dynamic gravimetric method. Flow Meas Instrum. 2018;62:105–112.
[24] Felipe MDAA, Latour JM, Peterlini MAS, Pedreira MDLG. Placement of syringe infusion pumps and solution density can impact infusion performance: an experimental study. J Neonatal Nurs. 2020;26(3):149–151.
[25] Peterfreund R, Philip J. Critical parameters in drug delivery by intravenous infusion. Expert Opin Drug Deliv. 2013;10(8):1095–1108.
[26] Dychter S, Gold D, Carson D, Haller M. Intravenous therapy: a review of complications and economic considerations of peripheral access. Art Sci Infus Nurs. 2012;92121:84–91.
[27] Blancher M, Repellin M, Maignan M, Clape C, Perrin A, Labarere J, Debaty G, Viglino D. Accuracy of low-weight versus standard syringe infusion pump devices depending on altitude. Scand J Trauma Resusc Emerg Med. 2019.
[28] Hedge V. Reliability in medical device industry. Handbook of performability engineering. London: Springer; 2008. pp. 997–1009.
[29] Methley A, Campbell S, Chew-Graham C, McNally R, Cheraghi-Sohi S. PICOS and SPIDER: a comparison study of specificity and sensitivity in three search tools for qualitative systematic reviews. BMC Health Serv Res. 2014;14(1):2.
[30] Liu Z, Zhong X-r, Lu M-h. Reliability analysis and typical failure case study of the domestic medical equipment. In: international conference on quality, reliability, risk, maintenance and safety engineering (QR2MSE 2019), Hunan, China. 2019; pp. 532–537
[31] Magrupova MT, Matyakubova PM, Magrupov TM, Abdihalikov SP. Methods for increasing and assessing reliability of medical equipment. 2020 International conference on information science and communications technologies, ICISCT 2020. 2020; 2020–2022.
[32] Hagle M, Snyder K, Janicek K, Bell K, Dietz B, Gundacker N, Kinter A, Severson A. Using a patient safety analysis to guide infusion therapy for patients with COVID-19. J Infus Nurs. 2021;44(5):259.
[33] Markevičius V, Navikas D. Reliability of syringe infusion pump data channel. Proceedings of the international conference on information technology interfaces. 2008; ITI, 733–738.
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