Zhang Zhao, Xiao Chun-Yan, Wang Ya, Song Wan-Cui, Sun Jia-Yi, Zhang Zhi-Guo
School of Logistics, Chengdu University of Information Technology, Chengdu, China.
Xichang People's Hospital, Xichang, China.
Front Public Health. 2025 Jun 3;13:1571904. doi: 10.3389/fpubh.2025.1571904. eCollection 2025.
Drone delivery technology provides innovative alternatives for the transportation of medical supplies. Due to their quick reaction, effectiveness, and adaptability, drones can drastically reduce the time it takes to deliver medications, vaccines, and emergency supplies as compared to standard logistics models. However, the real marketing of drone delivery technology has been hampered by medical professionals' concerns about its stability, safety, and dependability. Medical professionals are the primary users of medical delivery drones, hence, their opinions are crucial for the spread of the technology. To encourage the optimization and real-world use of this technology, it is crucial to methodically investigate the elements influencing medical staff's approval of drone delivery.
Using a sample of medical personnel from the emergency department of a large hospital in Chengdu City (N=289), this study conducted regression analyses using a binary logistic model for each of the four categories of medical supplies to identify key factors that can influence medical personnel's willingness to use drones. We then continued to explore the hierarchical structure and dynamic dependency relationships among the deeper factors of these causes using a Fuzzy-ISM model.
The study concluded that, in the initial stage, priority should be given to creating a favorable development environment for the project rather than pursuing substantive construction; in the trial operation period, the focus of construction should be on strengthening infrastructure and improving professional staffing; in the scale-up stage, the focus of attention should be on cost reduction, improving distribution efficiency, improving project safety, and optimizing the way of managing and operating the project.
These improvements will be more conducive to increasing the willingness of medical workers to use drones to distribute medical materials and more conducive also to the early realization of regular distribution of medical materials by drones.
无人机配送技术为医疗物资运输提供了创新的替代方案。由于无人机反应迅速、高效且适应性强,与传统物流模式相比,它可以大幅缩短药品、疫苗和应急物资的配送时间。然而,医疗专业人员对无人机配送技术的稳定性、安全性和可靠性的担忧阻碍了该技术的实际推广。医疗专业人员是医疗配送无人机的主要使用者,因此,他们的意见对于该技术的推广至关重要。为了促进这项技术的优化和实际应用,系统地研究影响医护人员对无人机配送认可的因素至关重要。
本研究以成都市一家大型医院急诊科的医务人员为样本(N = 289),针对四类医疗物资,分别使用二元逻辑模型进行回归分析,以确定影响医务人员使用无人机意愿的关键因素。然后,我们继续使用模糊解释结构模型(Fuzzy-ISM)探索这些原因的深层因素之间的层次结构和动态依赖关系。
研究得出结论,在初始阶段,应优先为项目创造良好的发展环境,而非追求实质性建设;在试运行阶段,建设重点应放在加强基础设施和改善专业人员配备上;在扩大规模阶段,关注重点应放在降低成本、提高配送效率、提高项目安全性以及优化项目管理和运营方式上。
这些改进将更有利于提高医护人员使用无人机配送医疗物资的意愿,也更有利于早日实现无人机定期配送医疗物资。