Multi-Agent Models in Healthcare System Design

Author:

Tariq Muhammad Usman1ORCID

Affiliation:

1. Abu Dhabi University, UAE & University of Glasgow, Glasgow, UK

Abstract

The 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.

Publisher

IGI Global

Reference58 articles.

1. A Multi-Agent Formalism Based on Contextual Defeasible Logic for Healthcare Systems

2. Multiagent systems to support planning and scheduling in home health care management: A literature review.;C. A.Becker;International Workshop on Artificial Intelligence in Health,2018

3. Bergenti, F., & Poggi, A. (2009, July). Multi-agent systems for e-health: Recent projects and initiatives. In 10Th Int. Workshop on objects and agents. IEEE.

4. Multi-Agent Architecture for Medical Diagnostic Systems

5. Medical application using multi agent system-a literature survey.;S.Chakraborty;International Journal of Engineering Research and Applications,2014

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