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Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda [in press]

Reuter-Opperman, Melanie; Kühl, Niklas

Abstract (englisch):
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.



Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Buchaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-3-030-45240-7
KITopen-ID: 1000117752
Erschienen in Artificial Intelligence and Data Mining in Healthcare. Ed.: M. Masmoudi
Verlag Springer Nature, Cham
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