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ISSN: 2165-7386

Journal of Palliative Care & Medicine
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  • J Palliat Care Med 2023, Vol 13(12): 598

Revolutionizing Healthcare: Multi-Agent Systems in Palliative Care for Chronic Illness

Simoff Michael*
Department of Radiotherapy, Henry Ford Health System, Detroit, United States
*Corresponding Author : Simoff Michael, Department of Radiotherapy, Henry Ford Health System, Detroit, United States, Email: Simoffm@hfhs.org

Received Date: Dec 04, 2023 / Accepted Date: Dec 19, 2023 / Published Date: Dec 20, 2023

Abstract

Palliative care seeks to alleviate caregivers from the responsibility of providing physical, psychological, and spiritual support. The pervasive challenge of insufficient healthcare infrastructure and resources for managing an aging population necessitates a shift in system management. The increasing burden on the healthcare system due to the aging population demands a transformative solution. The Multi-Agent System (MAS) emerges as a potential remedy for this issue. Programmers have devised this computerized networking system to collect relevant patient health data, facilitating collaboration with other agents to determine optimal disease management strategies. An enhanced synergetic mesh can empower a multidisciplinary healthcare team to offer precise and up-to-date information, enabling them to devise more informed plans of action for their patients. MASs hold the potential to deliver high-quality care, meeting the expectations of a growing chronic illness population in the US and signaling a noteworthy paradigm shift. This paper will explore the aging population and its contributing variables, the challenges in palliative care, the necessity for a multi-agent system, and clinical issues, drawing examples from healthcare systems in United States.

Citation: Michael S (2023) Revolutionizing Healthcare: Multi-Agent Systems inPalliative Care for Chronic Illness. J Palliat Care Med 13: 598.

Copyright: © 2023 Michael S. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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