Abstract
Artificial Intelligence (AI) has recently been established in healthcare management to support clinical activities and pharmaceutical research and development. Moreover, AI can potentially improve decision-making in healthcare supply chains (HSCs) by leveraging the information provided by various sources. However, research on the application of AI to HSCs is still in its infancy. This work presents a Systematic Literature Review to identify the main trends and future research directions. The analysis of the 23 pertinent papers suggests that more quantitative case studies on AI implementation in HSC are necessary. Additionally, the role of AI in facilitating logistics and supply chain management activities, promoting supply chain resilience, and ultimately creating integrated and agile HSCs should be investigated. Further literature reviews on AI-driven HSC management will help to keep the focus on this research field and its relevant developments.
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Piffari, C., Lagorio, A., Cagliano, A.C. (2024). AI Applications in the Healthcare Logistics and Supply Chain Sectors. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-031-65894-5_5
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