Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda

In this chapter we present the existing literature on machine learning approaches and artificial intelligence for logistical problems arising for designing, providing and improving healthcare services. As a basis, we provide a framework for the classification of artificial intelligence. For the analysis we distinguish between the care level (primary, secondary and tertiary care), the planning levels (strategic, tactical and operational), as well as the user types (doctors, nurses, technicians, patients etc.) Based on the results we provide a research agenda with open topics and future challenges.