On the Integration of Agents and Digital Twins in Healthcare


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Angelo Croatti, Matteo Gabellini, Sara Montagna, Alessandro Ricci

Journal of Medical Systems 44, article 161 (8 pages)
August 2020

A digital twin is a digital representation of a physical asset reproducing its data model, its behaviour and its communication with other physical assets. They 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, discussing what are the benefits and how such an integration could be realised. 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 discuss a first case study, about the application of agent-based digital twins to the management of severe traumas.

(keywords) Digital Twin; Agents; MAS; Healthcare; Trauma Management

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Journals & Series

Events

  • 1st International Workshop on Healthcare Intelligent Multi-Agent Systems (HIMAS 2020) — 09/05/2020–10/05/2020

Publication

— authors

— status

published

— sort

article in journal

— publication date

August 2020

— journal

Journal of Medical Systems

— volume

Healthcare Intelligent Multi-Agent Systems (HIMAS2020)

— volume

44

— article no.

161

— number of pages

8

URLs

original page  |  original PDF

identifiers

— DOI

10.1007/s10916-020-01623-5

— DBLP

journals/jms/CroattiGMR20

— IRIS

11585/768219

— PubMed

32748066

— Scopus

2-s2.0-85088988374

— Semantic Scholar

220938916

— WoS / ISI

000555985700001

notes

— note

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