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Agents and robots for collaborating and supporting physicians in healthcare scenarios.
J Biomed Inform. 2020 Jun 27; 108:103483.JB

Abstract

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.

Authors+Show Affiliations

Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Viale delle Scienze, Palermo, Italy. Electronic address: francesco.lanza@unipa.it.Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Viale delle Scienze, Palermo, Italy; Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche, 90146, Via Ugo La Malfa, 153 Palermo, Italy. Electronic address: valeria.seidita@unipa.it.Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Viale delle Scienze, Palermo, Italy; Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche, 90146, Via Ugo La Malfa, 153 Palermo, Italy. Electronic address: antonio.chella@unipa.it.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32603793

Citation

Lanza, Francesco, et al. "Agents and Robots for Collaborating and Supporting Physicians in Healthcare Scenarios." Journal of Biomedical Informatics, vol. 108, 2020, p. 103483.
Lanza F, Seidita V, Chella A. Agents and robots for collaborating and supporting physicians in healthcare scenarios. J Biomed Inform. 2020;108:103483.
Lanza, F., Seidita, V., & Chella, A. (2020). Agents and robots for collaborating and supporting physicians in healthcare scenarios. Journal of Biomedical Informatics, 108, 103483. https://doi.org/10.1016/j.jbi.2020.103483
Lanza F, Seidita V, Chella A. Agents and Robots for Collaborating and Supporting Physicians in Healthcare Scenarios. J Biomed Inform. 2020 Jun 27;108:103483. PubMed PMID: 32603793.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Agents and robots for collaborating and supporting physicians in healthcare scenarios. AU - Lanza,Francesco, AU - Seidita,Valeria, AU - Chella,Antonio, Y1 - 2020/06/27/ PY - 2020/01/30/received PY - 2020/06/01/revised PY - 2020/06/08/accepted PY - 2020/7/1/pubmed PY - 2020/7/1/medline PY - 2020/7/1/entrez KW - Human-robot interaction KW - Multi-agent systems KW - Patient monitoring KW - Robots in Emergency Care for COVID-19 KW - Robots in therapy SP - 103483 EP - 103483 JF - Journal of biomedical informatics JO - J Biomed Inform VL - 108 N2 - 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. SN - 1532-0480 UR - https://www.unboundmedicine.com/medline/citation/32603793/Agents_and_Robots_for_Collaborating_and_Supporting_Physicians_in_Healthcare_Scenarios L2 - https://linkinghub.elsevier.com/retrieve/pii/S1532-0464(20)30111-8 DB - PRIME DP - Unbound Medicine ER -
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