On the Integration of Agents and Digital Twins in Healthcare

Об интеграции агентов и цифровых двойников в здравоохранении
Angelo Croatti, Matteo Gabellini, Sara Montagna, Alessandro Ricci
2020-08-04

agent-based digital twinsdigital twinshealthcaremulti-agent systemssevere trauma management
A digital twin is a digital representation of a physical asset reproducing its data model, its behaviour and its communication with other physical assets. Digital twins act as a digital replica for the physical object or process they represent, providing nearly real-time monitoring and evaluation without being in close proximity. Although most of their concrete applications can be found mainly in the industrial context, healthcare represents another relevant area where digital twins can have a disruptive impact. The main research question tackled by this paper is about the integration of digital twins with agents and Multi-Agent Systems (MAS) technologies in healthcare. After providing an overview of the application of digital twins in healthcare, in this paper, we discuss our vision about agent-based digital twins, and we present a first case study, about the application of agent-based digital twins to the management of severe traumas.
1
A first case study applies agent-based digital twins to the management of severe traumas.
2
Digital twins can provide near-real-time monitoring and evaluation of healthcare objects or processes without requiring physical proximity.
3
It presents a vision of agent-based digital twins as an approach for combining digital-twin representations with autonomous, coordinating agents.
4
The paper examines integrating digital twins with software agents and Multi-Agent Systems technologies specifically for healthcare applications.
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The paper identifies healthcare as a promising domain in which digital twins could have a disruptive impact beyond their predominant industrial applications.

agent-based digital twins for healthcare, particularly severe-trauma management

the integration of digital twins with agents and Multi-Agent Systems (MAS) technologies, including their application to severe-trauma management

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2020-08-04
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Authors
Angelo Croatti
Matteo Gabellini
Sara Montagna
Alessandro Ricci
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