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Agents and robots for collaborating and supporting physicians in healthcare scenarios

Monitoring patients through robotics telehealth systems is an interesting scenario where patients’ conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems’ features to include the ability to serve patients with their needs, operating as human ca...

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Detalles Bibliográficos
Autores principales: Lanza, Francesco, Seidita, Valeria, Chella, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320857/
https://www.ncbi.nlm.nih.gov/pubmed/32603793
http://dx.doi.org/10.1016/j.jbi.2020.103483
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author Lanza, Francesco
Seidita, Valeria
Chella, Antonio
author_facet Lanza, Francesco
Seidita, Valeria
Chella, Antonio
author_sort Lanza, Francesco
collection PubMed
description Monitoring patients through robotics telehealth systems is an interesting scenario where patients’ conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems’ features to include the ability to serve patients with their needs, operating as human caregivers. The objective is to support the independent living of patients at home without losing the opportunity to monitor their health status. Application scenarios are several, and they spread from simple clinical assisting scenarios to an emergency one. For instance, in the case of a nursing home, the system would support in continuously monitoring the elderly patients. In contrast, in the case of an epidemic diffusion, such as COVID-19 pandemic, the system may help in all the early triage phases, significantly reducing the risk of contagion. However, the system has to let medical assistants perform actions remotely such as changing therapies or interacting with patients that need support. The paper proposes and describes a multi-agent architecture for intelligent medical care. We propose to use the beliefs-desires-intentions agent architecture, part of it is devised to be deployed in a robot. The result is an intelligent system that may allow robots the ability to select the most useful plan for unhandled situations and to communicate the choice to the physician for his validation and permission.
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spelling pubmed-73208572020-06-29 Agents and robots for collaborating and supporting physicians in healthcare scenarios Lanza, Francesco Seidita, Valeria Chella, Antonio J Biomed Inform Article Monitoring patients through robotics telehealth systems is an interesting scenario where patients’ conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems’ features to include the ability to serve patients with their needs, operating as human caregivers. The objective is to support the independent living of patients at home without losing the opportunity to monitor their health status. Application scenarios are several, and they spread from simple clinical assisting scenarios to an emergency one. For instance, in the case of a nursing home, the system would support in continuously monitoring the elderly patients. In contrast, in the case of an epidemic diffusion, such as COVID-19 pandemic, the system may help in all the early triage phases, significantly reducing the risk of contagion. However, the system has to let medical assistants perform actions remotely such as changing therapies or interacting with patients that need support. The paper proposes and describes a multi-agent architecture for intelligent medical care. We propose to use the beliefs-desires-intentions agent architecture, part of it is devised to be deployed in a robot. The result is an intelligent system that may allow robots the ability to select the most useful plan for unhandled situations and to communicate the choice to the physician for his validation and permission. Elsevier Inc. 2020-08 2020-06-27 /pmc/articles/PMC7320857/ /pubmed/32603793 http://dx.doi.org/10.1016/j.jbi.2020.103483 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Lanza, Francesco
Seidita, Valeria
Chella, Antonio
Agents and robots for collaborating and supporting physicians in healthcare scenarios
title Agents and robots for collaborating and supporting physicians in healthcare scenarios
title_full Agents and robots for collaborating and supporting physicians in healthcare scenarios
title_fullStr Agents and robots for collaborating and supporting physicians in healthcare scenarios
title_full_unstemmed Agents and robots for collaborating and supporting physicians in healthcare scenarios
title_short Agents and robots for collaborating and supporting physicians in healthcare scenarios
title_sort agents and robots for collaborating and supporting physicians in healthcare scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320857/
https://www.ncbi.nlm.nih.gov/pubmed/32603793
http://dx.doi.org/10.1016/j.jbi.2020.103483
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