New technologies in health sustainability in vulnerable areas inspired by the qualities of bees
Keywords:
artificial intelligence, drones, IoT, sustainable medicineAbstract
The distribution of medicines in rural, isolated, or disaster-affected areas represents one of the logistical challenges facing healthcare systems. In response to this problem, an initiative based on the development of bee-inspired drones is proposed. The objective is to create an efficient, autonomous, and sustainable medical transport network within the healthcare system. Methodologies used included a literature review, qualitative analysis, and deductive research. The results show that these medical pollinating drones will combine advanced technology with biological design principles, offering an innovative solution to improve access to vital treatments and supplies
Downloads
References
Cocom, J. L., & González, M. M. (2015). Biomimetic Design: Experience from the Architecture Program of the Autonomous University of Yucatan (UADY), Mexico. Legacy of Architecture and Design (18), 69-75.
Controlled flight of a biologically inspired insect-scale robot. (2025). Science, 249(6132).
Fan, X., Li, H., Chen, Y., & Dong, D. (2024). A path planning method for UAV swarms under multiple environmental threats. Drones, 8(5), 71.
García, M., Ríos Osorio, L. A., & Álvarez del Castillo, J. (2016). La polinización en los sistemas de producción agrícola: revisión sistemática de la literatura. Idesia (Arica), 34(3), 53-68.
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. metabolism, 69, S36-S40. https://doi.org/10.1016/j.metabol.2017.01.011
Haux, R. (2006). Individualization, globalization and health–about sustainable information technologies and the aim of medical informatics. International journal of medical informatics, 75(12), 795-808. https://doi.org/10.1016/j.ijmedinf.2006.05.045
Montilla, A., Pacheco, H. A., Pastrán, F. R., & Rodríguez, I. R. (2021). Drone pollination: A successful response to the decline of entomophilous pollinators. Agricultural Science, 12(4), 509-516.
Mora Umaña, A. M. (2018). Conceptions of Language and its Relationship with Higher Cognitive Processes in Teachers I and II Cycle General Basic Education Public Schools Urban Metropolitan Area, Costa Rica. Revista Educación, 42(1), 156-175.
Wang, J., Chen, W., Xiao, X., Xu, Y., Li, C., Jia, X., & Meng, M. Q. H. (2021). A survey of the development of biomimetic intelligence and robotics. Biomimetic Intelligence and Robotics, 1, 100001. https://doi.org/10.1016/j.birob.2021.100001
Published
How to Cite
Issue
Section
Copyright (c) 2025 International journal of health & medical sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health & Medical Sciences (IJHMS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHMS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHMS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.


