The Governance of Artificial Intelligence and Big Data in Healthcare Supply Chain Management

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Authors: Paruss Panhwar, Mukut Sikder, Shaoguo Zhai
Cited by: 1
References: 66

Abstract

Healthcare Supply Chain Management (HSCM) advances the overarching societal objective of creating a sustainable system; however, artificial intelligence (AI) and big data (BD) have become essential facilitators of governance performance. Therefore, this chapter offers a comprehensive overview for AI and BD integration in HSCM with governance implications using PRISMA and SWOT frameworks to synthesize foundational studies published between 2015 and 2025. The results indicate that AI and BD support accurate predictions, optimize processes, and make overall systems resilient. However, ongoing challenges—such as data interoperability, algorithmic transparency, cybersecurity risks, and ethical governance—still hinder effective implementation. Finally, the study embraces theoretical principles and validation with governance-focused assessments, suggesting a sustainable use of AI and BD in HSCM co-benefits.

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Artificial Intelligence in Healthcare and Education Big Data and Business Intelligence

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
305–336
Publication date
4 March 2026
Document type
Book chapter