Agile-Driven Digital Transformation Frameworks for Optimizing Cloud-Based Healthcare Supply Chain Management Systems
Year: 2025
Type: article
Abstract: The increasing complexity of healthcare supply chain systems necessitates agile, data-driven, and cloud-based solutions to enhance operational efficiency, resilience, and patient-centered service delivery. This paper proposes an Agile-Driven Digital Transformation Framework designed to optimize cloud-based healthcare supply chain management systems through iterative development, adaptive planning, and continuous integration of digital technologies. The framework leverages cloud computing, artificial intelligence (AI), Internet of Things (IoT), and blockchain to achieve real-time visibility, predictive analytics, and traceability across procurement, inventory, and distribution networks. By embedding agile methodologies such as Scrum and DevOps within the transformation lifecycle, healthcare organizations can rapidly respond to disruptions, regulatory shifts, and fluctuating demand patterns—particularly during crises such as pandemics. The study explores the synergistic role of digital twins and data interoperability standards (e.g., HL7, FHIR) in fostering transparency and decision intelligence across multi-tier healthcare ecosystems. Additionally, it evaluates the challenges of digital adoption, including cybersecurity risks, data governance, and change management. The proposed framework provides a strategic roadmap for healthcare institutions aiming to modernize their supply chain infrastructure, enhance resource utilization, and ensure resilient, patient-safe delivery of medical goods and services in a cloud-empowered environment.
Institutions: Amberton University, Joseph Sarwuan Tarka University Makurdi
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4416570545