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Home / Volume 5, Issue 6 / Artificial Intelligence in the Supply Chain Management for… Open access · CC BY-NC 4.0
Research Paper Volume 5 Issue 6 1701 - 1705 December 22, 2023

Artificial Intelligence in the Supply Chain Management for Vaccine Distribution in the West African Healthcare Sector with a focus on Ghana

Lead author · Corresponding
Alfred Addy
RN, MPH, Independent Researcher, Ghana.
Abstract

Artificial Intelligence (AI) has revolutionized various industries, and the healthcare sector is no exception. In the West African healthcare sector, particularly in Ghana, AI has the potential to greatly enhance supply chain management for vaccine distribution. By analyzing relevant case studies and concrete examples of countries that have successfully implemented AI in their vaccine supply chain management, as well as the World Health Organization's (WHO) operations on vaccine distribution, it becomes evident that AI can significantly improve efficiency and effectiveness. One country that has successfully implemented AI in its vaccine supply chain management is Rwanda. Through a partnership with Zipline, an autonomous drone delivery company, Rwanda has been able to deliver vaccines and medical supplies to remote areas efficiently. The drones use AI algorithms to optimize routes and ensure timely deliveries. This technology has not only improved access to vaccines but also reduced wastage due to spoilage. Another example is India's successful implementation of electronic vaccine intelligence network (eVIN). This system uses AI algorithms to track real-time data on vaccine stocks, storage temperatures, and distribution across the country. As a result, India was able to streamline its vaccine supply chain management and reduce stockouts by 80%. This demonstrates how AI can enhance decision-making processes by providing accurate and timely information. The WHO also recognizes the importance of efficient vaccine distribution. In collaboration with UNICEF and Gavi, the Vaccine Alliance, they have developed a platform called "Smart Vaccination Management System" (SVMS). SVMS utilizes AI technologies such as machine learning and predictive analytics to optimize vaccine allocation based on population needs and disease prevalence. This ensures equitable distribution of vaccines across countries. In conclusion, implementing AI in supply chain management for vaccine distribution in the West African healthcare sector with a focus on Ghana can yield significant benefits. Case studies from countries like Rwanda and India demonstrate how AI can improve efficiency by optimizing routes, reducing wastage through real-time data tracking systems like eVIN, or ensuring equitable distribution through platforms like SVMS. By embracing AI, Ghana can enhance its vaccine supply chain management and ultimately improve healthcare outcomes for its population.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 5, Issue 6, Page 1701 - 1705
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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