Abstract: This study examines the role of Artificial Intelligence (AI) as a catalyst for digital transformation in public health supply chains, with specific reference to the Ethiopian Pharmaceutical Supply Service (EPSS). The research investigates the level of AI awareness, digital readiness, governance support, and the perceived impact of AI adoption on supply chain performance within EPSS. A quantitative research approach was employed using structured questionnaires distributed to EPSS staff working in different functional areas, including warehouse operations, supply chain management, branch administration, and information technology. A total of 333 responses were collected and analyzed using descriptive statistical methods.
The findings reveal that AI technologies have significant potential to improve inventory management, demand forecasting, medicine tracking, distribution efficiency, and responsiveness to supply chain disruptions. However, the study also identified challenges related to digital infrastructure, staff technical capacity, organizational readiness, and data governance. The results further indicate that leadership support, staff training, and ethical compliance are critical factors influencing successful AI implementation in EPSS.
The study concludes that AI adoption can substantially enhance the efficiency and effectiveness of Ethiopia’s public health supply chain system and recommends strengthening digital infrastructure, policy frameworks, and capacity-building initiatives to support sustainable digital transformation.
Keywords: Artificial Intelligence, Digital Transformation, Public Health Supply Chain, EPSS, Supply Chain Management, Ethiopia, Digital Readiness, Demand Forecasting.
Title: Artificial Intelligence as a Catalyst for Digital Transformation in Public Health Supply Chains: An Analysis of the Ethiopian Pharmaceutical Supply Service (EPSS)
Author: Dr. Tesfay Alemayeh Dagnew
International Journal of Thesis Projects and Dissertations (IJTPD)
Vol. 14, Issue 2, April 2026 - June 2026
Page No: 42-44
Research Publish Journals
Website: www.researchpublish.com
Published date: 13-May-2026
