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CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization.
Carbonaro, Antonella; Marfoglia, Alberto; Nardini, Filippo; Mellone, Sabato.
Afiliación
  • Carbonaro A; Department of Computer Science and Engineering, Università di Bologna, Cesena, Italy.
  • Marfoglia A; Department of Computer Science and Engineering, Università di Bologna, Cesena, Italy.
  • Nardini F; Department of Industrial Engineering, Università di Bologna, Bologna, Italy.
  • Mellone S; Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", Università di Bologna, Cesena, Italy.
Front Digit Health ; 5: 1322428, 2023.
Article en En | MEDLINE | ID: mdl-38130576
ABSTRACT
Healthcare has always been a strategic domain in which innovative technologies can be applied to increase the effectiveness of services and patient care quality. Recent advancements have been made in the adoption of Digital Twins (DTs) and Personal Knowledge Graphs (PKGs) in this field. Despite this, their introduction has been hindered by the complex nature of the context itself which leads to many challenges both technical and organizational. In this article, we reviewed the literature about these technologies and their integrations, identifying the most critical requirements for clinical platforms. These latter have been used to design CONNECTED (COmpreheNsive and staNdardized hEalth-Care plaTforms to collEct and harmonize clinical Data), a conceptual framework aimed at defining guidelines to overcome the crucial issues related to the development of healthcare applications. It is structured in a multi-layer shape, in which heterogeneous data sources are first integrated, then standardized, and finally used to realize general-purpose DTs of patients backed by PKGs and accessible through dedicated APIs. These DTs will be the foundation on which smart applications can be built.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza