Multi-Agent Models in Healthcare System Design

dc.contributor.authorTariq, Muhammad Usman
dc.date.accessioned2025-09-08T08:12:49Z
dc.date.available2025-09-08T08:12:49Z
dc.date.issued2024
dc.description.abstractThe chapter delves into the pivotal role of multiagent models (MAS) in designing healthcare systems, addressing the escalating complexity and interconnected nature inherent in contemporary healthcare. Against historical progress in healthcare systems, the chapter explores the fundamental principles and architectural frameworks specifically tailored for MAS in healthcare applications. It presents MAS as dynamic and adaptable solutions, offering an innovative framework for tackling the intricate challenges healthcare environments face. It analyzes various applications of MAS in healthcare system design, encompassing its impact on hospital management, patient care coordination, resource allocation, and telemedicine. Through case studies and examples, it elucidates how MAS enhances efficiency, reduces costs, and facilitates real-time healthcare delivery decision-making. Furthermore, the chapter critically examines the challenges inherent in implementing MAS, encompassing technical complexities, organizational hurdles, and ethical considerations such as patient privacy and data security. Keywords Healthcare system, Multiagent models (MAS), Patient privacy, Data security
dc.identifier.citationTariq, M. U. (2024). Multi-agent models in healthcare system design. In Bioethics of Cognitive Ergonomics and Digital Transition (pp. 143-170). IGI Global.
dc.identifier.doihttps://doi.org/10.4018/979-8-3693-2667-1.ch008
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7388
dc.language.isoen_US
dc.publisherIGI Global
dc.titleMulti-Agent Models in Healthcare System Design
dc.typeBook chapter

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