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Integrating Artificial Intelligence with Information Systems in Healthcare Supply Chain Management

  • Sabrina Guetibi

摘要

This chapter investigates the transformative potential of integrating Artificial Intelligence and Information Systems in Healthcare Supply Chain Management. Drawing insights from recent studies delve into specific AI applications such as predictive analytics, demand forecasting, and decision support systems within healthcare SCM. Some of the recent studies investigate on how AI-driven technologies optimize inventory management, anticipate patient needs, and improve decision-making processes, ultimately enhancing operational efficiency and patient care outcomes. However, challenges such as data interoperability, regulatory compliance, and workforce readiness must be addressed to fully utilize the capabilities of AI in healthcare SCM. By re-thinking data strategy, ensuring regulatory compliance, and investing in workforce prior and post-training, healthcare organizations can address these obstacles and achieve the complete advantages of AI integration in SCM.