AI-Driven Risk Management & Optimization in Healthcare Supply Chain: A Machine Learning Approach

Md Imran Khan (), Rasmila Lama () and Birbal Tamang ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2025, vol. 8, issue 02, 149-160

Abstract: The increasing complexity of healthcare supply chains (HSCs) has introduced significant risks, including cyber threats, disruptions, and inefficiencies. This paper explores the application of artificial intelligence (AI) and machine learning (ML) in risk management for healthcare supply chains. AI-driven models enhance predictive analytics, optimize inventory management, and mitigate disruptions by analyzing vast datasets in real time. This study reviews existing literature discusses AI-based risk assessment frameworks and presents a methodology for implementing machine learning techniques in HSC risk management. Future considerations highlight AI's role in enhancing security, resilience, and operational efficiency within healthcare logistics.

Keywords: Artificial intelligence; Data Optimization; Supply Chain; Machine Learning; Risk Management (search for similar items in EconPapers)
Date: 2025
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