Application of Intelligent Intravenous Drug Dispensing Robot in Clinical Nursing

Author:

Zhang Lifen1ORCID,Liu Wei2ORCID,Zhang Yanhong3ORCID

Affiliation:

1. Pharmacy Intravenous Admixture Service Center, Harbin Medical University Cancer Hospital, Heilongjiang, Haerbin 150000, China

2. PET/CT-MR Center, Harbin Medical University Cancer Hospital, Heilongjiang, Haerbin 150000, China

3. ICU Unit 1, Harbin Medical University Cancer Hospital, Heilongjiang, Haerbin 150000, China

Abstract

In order to explore the application of intelligent intravenous drug dispensing robot in clinical nursing, the efficiency, residual amount, needle pushing, and pulling times, the incidence of accidental hand stab injury and the accuracy of drug dispensing were compared and observed between intelligent intravenous drug dispensing robot and manual dispensing. The study found that the sterile powder residual amount of injection is pointed out in the standard, the drug label is not equipped with ≤50 mg, and the residual limit is ≤ 15%; the lamination is 50–150 mg, the residual amount is limited to ≤10%; the marking is 150–500 mg, the residual amount is ≤ 7%; the marking is 500 mg, the residual amount is limited to ≤5%; 6 months of artificial deployment accidental stab ergonomics occur; without this phenomenon when using the drug-like robot, 6 months internal use of the pharmaceutical robot, 4 times of error occurrence, and errors occurred 60 times. During the clinical intravenous infusion dispensing process, the use of intelligent vein is used to configure the robot, improve the efficiency of the drug, reduce the incidence of drug residual, reduce the incidence of dispensing, increase the accuracy and safety of venous liquidation, and decrease to some extent professional injury caused by drug formulation for liquid nurses.

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nursing Informatics in Health Care. A Global View;Synthesis Lectures on Information Concepts, Retrieval, and Services;2024

2. Inteligencia artificial en el campo de la enfermería. Implicaciones en la asistencia, administración y educación;Salud, Ciencia y Tecnología;2022-10-23

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