Agents and robots for collaborating and supporting physicians in healthcare scenarios
Open accessAbstract
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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In the past, as with the introduction of robotics, physicians roles were under similar pressure from change.
“In the past, as with the introduction of robotics, physicians roles were under similar pressure from change. 16”
From Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes (2021) · cites this paper as [16]
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Grunhut, J., Wyatt, A. T., & Marques, O. (2021) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205211036836 · Cited by 161 · see citing works
“16 In response, physicians adapted their roles to best match their tools to further advance patient care.”
Background
- Authors
- Lanza, F., Seidita, V., & Chella, A.
- Affiliations
- University of Palermo (IT)
- Institute for High Performance Computing and Networking (IT)
- Corresponding author
- Lanza, Francesco
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 108
- Pages
- 103483
- ISSN
- 1532-0464 (ISSN-L)
- PMC
- PMC7320857
- OpenAlex
- W3037334953
- Cited by
- 70
- References
- 56
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 10 · 2023: 4 · 2022: 21 · 2021: 19 · 2020: 6
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Biomedical Informatics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- telemedicine, healthcare robots, multi-agent systems, remote patient monitoring, home care, elderly care, nursing homes, COVID-19 triage, emergency response, physician support
- MeSH terms
- COVID-19, Aged, Artificial Intelligence, Computer Systems, Emergency Medicine, Geriatrics, Humans, Medical Informatics, Models, Theoretical, Monitoring, Physiologic, Nursing Homes, Pneumonia, Viral, Risk, Robotics, Telemedicine, Coronavirus Infections, Infectious Disease Medicine, Pandemics
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